Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
University of Plymouth Launches £1.2 Million Multi-Robot Demonstration at Smart Sound Connect
The University of Plymouth has successfully completed a significant underwater trials demonstration at the Smart Sound Connect Subsurface (SSCS) project, showcasing multi-marine robotic platforms. This event featured collaboration among ACUA Ocean, ecoSUB Robotics, Seaber, and Sonardyne, highlighting the capabilities of the £1.2 million initiative aimed at enhancing marine autonomy and ocean sensing in the UK. The demonstration attracted stakeholders from various sectors, emphasizing the project's role in advancing technology in marine environments. The SSCS project enhances the existing Smart Sound Plymouth testbed by integrating a seabed node array for precise positioning and communication, alongside intelligent sensors. This infrastructure supports advanced testing capabilities for autonomous vehicles, reinforcing Plymouth's status as a leading hub for marine autonomy. The successful demonstration underscores the importance of collaborative efforts in developing ocean observing technologies that can provide actionable intelligence for climate resilience and preparedness. Looking ahead, the SSCS project aims to further develop ocean observing technologies that can transform prototypes into reliable data streams. No further timeline was disclosed at the time of publication, but the ongoing collaboration is expected to drive innovation and strengthen industry partnerships in marine autonomy and sensing technologies.
Marine Research ACUA Ocean automation autonomous underwater vehicles auv
How AI Is Powering Smarter, More Connected Logistics Operations
In response to the growing unpredictability in logistics, companies are shifting their focus from simply increasing the number of robots to deploying them in more intelligent and adaptable ways. This transformation is being driven by advancements in artificial intelligence, which is now serving as the critical intelligence layer that enhances modern logistics operations. As businesses adapt to these changes, the integration of AI is expected to streamline processes, improve efficiency, and better meet the demands of an evolving market landscape.
TUYA Partners with Zeroth on Smart Home Robots
Tuya Inc., a prominent player in the AI and IoT sector, has announced a strategic partnership with Zeroth on June 12, 2026, to enhance the capabilities of smart home robots. This collaboration aims to merge Tuya's advanced AI+IoT ecosystem with Zeroth's robotics expertise, creating intelligent household companions that can adapt to user needs. Traditionally, home service robots have functioned as isolated devices, limiting their integration with other smart home systems. The partnership seeks to overcome this challenge by enabling robots to serve as integrated hubs within connected homes, effectively managing various devices such as lighting, climate control, and security systems. Utilizing Tuya's proprietary Physical AI Engine (PAE), the robots will transform into proactive household managers, enhancing the overall smart living experience. This initiative reflects Tuya's commitment to delivering innovative solutions in the smart device market while addressing the growing demand for more sophisticated home automation.
Smarter Automation with Industrial PCs and HMIs
In a recent episode of the Automation World podcast, host Chris McNamara engaged with Chris Barber, product marketing manager at Phoenix Contact, to explore the evolving landscape of industrial automation. The discussion, which aired on June 24, 2026, delved into the transition towards web-based Human-Machine Interfaces (HMIs), industrial PCs, edge computing, and software-defined control systems. Barber highlighted Phoenix Contact’s innovative PLCnext approach, which integrates traditional operational technology (OT) programming with IT-friendly tools, aiming to simplify integration, enhance real-time processing, and bridge the gap between IT and OT. Barber provided a practical example from the water-wastewater sector, illustrating how edge PCs can significantly improve local alarm handling and data reliability. The conversation also touched on Phoenix Contact’s strengths in hardware and customer support, as well as emerging trends such as cloud-edge convergence and the development of smarter, connected systems that facilitate easier deployment. This insightful dialogue underscores the ongoing advancements in automation technology and its implications for various industries.
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Taiwan Excellence Pavilion Brings Edge AI, Robotics and Smart Manufacturing Technology to Automate 2026
Twenty-three Taiwanese companies recently presented their innovative industrial technologies aimed at enhancing real-time automation and connectivity within U.S. manufacturing. This showcase took place as part of a broader initiative to strengthen collaboration between Taiwan and the United States in the manufacturing sector. The event highlighted advancements in automation tools and connected systems designed to improve efficiency and productivity in manufacturing processes. By demonstrating these technologies, the Taiwanese firms aim to address the growing demand for smarter manufacturing solutions in the U.S. market, driven by the need for increased competitiveness and operational efficiency. The presentation underscored the importance of international partnerships in fostering technological advancements and meeting the evolving needs of the manufacturing industry.
Industry 4.0: putting a spotlight on the connector technology shaping the future
The rapid advancement of Industry 4.0, the Internet of Things (IoT), and intelligent automation is significantly transforming the industrial landscape, impacting various sectors including defense, drone technology, and space connectivity. This evolution is driven by the increasing demand for efficiency and connectivity in industrial operations. As companies seek to leverage these technologies, they are integrating smart systems that enhance productivity and streamline processes. The shift is evident as industries adopt automated solutions to optimize their operations, reduce costs, and improve overall performance. The ongoing developments in these areas are expected to reshape the future of industrial practices, fostering innovation and competitiveness on a global scale.
Partner Content
OPPO launches Reno16 series, featuring "3D floating sphere + live stickers" to set new smartphone trends.
On May 25, 2026, OPPO held the "Reno Land Fantasy Night" launch event, unveiling a range of new products including the OPPO Reno16 smartphone series, OPPO Pad 6 tablet, OPPO Pad Air5 learning tablet, OPPO Enco Air5s noise-canceling earbuds, and the OPPO Bubble selfie screen. The event focused on meeting the diverse needs of young users in areas such as learning, creation, socializing, live streaming, and gaming, emphasizing stylish aesthetics, innovative imaging technology, AI experiences, and seamless cross-device collaboration. The Reno16 series features a design inspired by the "Dream Core Planet" aesthetic, utilizing a pioneering 3D floating technology for a striking visual effect. The series includes advanced camera systems with a 200-megapixel main camera and enhanced imaging algorithms for realistic portrait experiences. Additionally, the Reno16 Pro is tailored for live streaming, equipped with stabilization technology and a powerful battery for extended use. Alongside the smartphones, OPPO introduced the Pad 6 tablet, designed for students with features like AI-assisted note-taking and seamless connectivity with OPPO smartphones. The Enco Air5s earbuds offer lightweight design and advanced noise-canceling capabilities, making them ideal for immersive learning experiences. To support students, OPPO announced exclusive purchase subsidies, with the Reno16 series and Pad 6 set to officially launch on May 29, 2026, available through various online and offline channels.
The Evolution of Vision Connectivity in Robotics: From USB and Ethernet to GMSL
As robotic systems advance in autonomy, perception, and scalability, the technologies facilitating the transmission of image data are also evolving. This shift highlights the transition from traditional connectivity methods such as USB and Ethernet to more sophisticated solutions like GMSL (Gigabit Multimedia Serial Link). The evolution of vision connectivity is crucial for enhancing the performance and capabilities of modern robotics, ensuring that these systems can effectively process and analyze visual information in real-time. This development reflects the broader trends in robotics, where improved connectivity plays a vital role in enabling smarter and more efficient machines. The insights into these technological advancements were discussed in detail in a recent article on The Robot Report.
Analog Devices: Architecting Trusted Mobility Analog Devices
Quiz: Industrial Connectivity Trends
Recent developments in industrial networks are significantly transforming the landscape of manufacturing connectivity. As companies increasingly adopt advanced technologies, the integration of Internet of Things (IoT) devices and cloud computing is reshaping how manufacturers communicate and operate. This shift is particularly evident in the ongoing evolution of smart factories, which leverage real-time data to enhance efficiency and productivity. The changes are occurring across various sectors, with a notable emphasis on automation and data analytics. By October 2023, many manufacturers have begun to implement these technologies to streamline operations and reduce costs. The push for greater connectivity is driven by the need for improved supply chain management and the ability to respond swiftly to market demands. Experts highlight that the transition to more interconnected systems is not merely a trend but a necessary adaptation to remain competitive in a rapidly changing global market. Manufacturers are increasingly recognizing the importance of collaboration and data sharing among partners to optimize processes and innovate products. As this transformation continues, the implications for workforce dynamics and skill requirements are becoming apparent. Companies are investing in training programs to equip employees with the necessary skills to thrive in this new environment. The ongoing evolution of industrial networks is poised to redefine traditional manufacturing paradigms, fostering a more agile and responsive industry capable of meeting the challenges of the future.
Process / Communication
Understanding Robotics and Autonomous Systems in Next-Gen Smart Factories
Factories are experiencing a significant transformation as they shift from traditional linear automation to interconnected, intelligent production ecosystems. This change is driven by the integration of robotics and autonomous systems, with JAKA positioning its industrial cobots as essential components within this advanced network. The industrial cobot serves as a flexible link between manual workstations and fully automated lines, enabling manufacturers to adapt quickly to varying tasks such as assembly and inspection. This adaptability is crucial for high-mix production environments, allowing workflows to respond in near real-time to digital directives from a central Manufacturing Execution System (MES). The evolution of true autonomy is facilitated by the connectivity of individual machines within a coordinated network. JAKA's robotic arms can communicate seamlessly with autonomous mobile robots and vision systems, creating a responsive operational loop. For example, an autonomous robot can deliver components to a JAKA cobot, which then executes tasks based on cloud-based analytics. JAKA emphasizes the importance of reliable, connected hardware to support these systems, focusing on high-precision control technology that ensures accurate task execution. This reliability is essential for advancing towards lights-out production in certain processes. As the next-generation smart factory emerges, the industrial cobot is positioned as a versatile agent within a complex architecture of robotics and autonomous systems. JAKA aims to provide manufacturers with the necessary hardware to build increasingly responsive and autonomous production environments, enhancing efficiency and complexity management in the manufacturing landscape.
Oppo to launch first eSIM smartphone tonight, confirms Find X9 series with eSIM version
Oppo is set to launch its highly anticipated Find X9 series, the company's first flagship smartphone equipped with eSIM technology, during an event tonight. This new device is expected to feature the advanced Dimensity 9500 chipset and will support dual eSIM functionality, enabling users to connect two carrier numbers simultaneously and switch between networks with ease. Additionally, the eSIM capability allows for the sharing of a single phone number across two devices, enhancing user convenience and flexibility. The launch marks a significant step for Oppo in integrating cutting-edge technology into its smartphones, catering to the growing demand for versatile connectivity options among consumers.
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Robot Product Matrix Goes Global! SIASUN Joins Forces with Customers to Revolutionize Smart Manufacturing in Thailand
In Thailand's Eastern Economic Corridor, the region's first 5G smart factory has made significant advancements, attracting global delegations from various enterprises. This facility, recognized for its pioneering role in digital manufacturing, showcases cutting-edge technology that enhances production efficiency and connectivity. The recent developments highlight the factory's commitment to innovation and its impact on the manufacturing landscape in Southeast Asia. The visits from international delegations underscore the growing interest in smart manufacturing solutions and the potential for collaboration in this rapidly evolving sector.
The Role of RF Connectors in Robotic Vision, Sensor Communication, and Automated Inspection Systems
Recent advancements in robotic vision and automated inspection have highlighted the limitations of software solutions in addressing physical challenges. While fast GPUs, sophisticated models, and user-friendly dashboards are often celebrated as technological triumphs, they falter when confronted with the realities of a compromised physical signal path. For instance, a camera's ability to process images is hindered by a noisy clock, and sensors struggle to deliver accurate readings when interfaces become loose after repeated vibrations. This underscores the importance of considering the physical environment in the development and implementation of automated systems, as reliance solely on software capabilities may lead to significant operational failures.
Design Engineering Technology automated inspection automation news factory automation
The Future of Physical AI Isn’t Smarter Robots, It’s Smarter Interfaces
Wetour Robotics is pioneering a new approach to human-machine interaction with its innovative concept of Spatial Intent Fusion, which aims to enhance how people communicate with connected devices. This initiative comes in response to the limitations of traditional input methods—screens, buttons, and voice commands—that often fail in dynamic environments where users' hands are occupied or speech is impractical. The company, which has made significant strides in the field of Physical AI over the past three years, emphasizes the need to integrate human intent into the computing loop as seamlessly as the robots already operate. By utilizing a portable intelligent hub called Orchestra, Wetour Robotics processes multiple streams of human-centered information—spatial position, visual context, and gestural intent—into real-time commands for various devices. Orchestra operates on the NVIDIA Jetson Orin Nano Super platform, ensuring low-latency performance without relying on cloud processing. The system includes advanced features such as pre-motion intent sensing, which allows it to anticipate user actions based on biosignal data. Wetour Robotics acknowledges ongoing challenges, such as maintaining signal stability during movement and integrating diverse device protocols. However, the company believes that treating the human body as an active participant in the computing network will not only improve individual user experiences but also provide valuable data for the development of future AI technologies. This initiative represents a significant step forward in bridging the gap between human and robotic capabilities, ultimately enhancing the broader Physical AI ecosystem.
Interfaces Physical-ai Robot-hardware Smarter-robots
Multi-robot Demo Showcases New Plymouth Subsea Test Range
A newly established underwater trials site in the UK has successfully conducted its inaugural major test, showcasing a live demonstration of a multi-marine surface and subsea robotic platform. This event marks a significant step forward in advancing marine autonomy and enhancing ocean sensing capabilities. The trials aim to foster innovation in marine technology, addressing the growing need for sophisticated underwater exploration and monitoring solutions. By providing a dedicated environment for testing, the site is expected to facilitate the development of cutting-edge robotic systems that can operate effectively in challenging marine conditions. The successful demonstration underscores the potential for these technologies to transform the way oceanic research and operations are conducted, paving the way for future advancements in the field.
multi-robot demo showcase plymouth subsea test range sonardyne smart sound connect subsurface (sscs) project smart sound plymouth
How Automated Container Gantry Cranes Are Reshaping Port Operations in 2026
In 2026, container gantry cranes, essential to global port logistics, are set to undergo significant transformation. This evolution is driven by advancements in automation and artificial intelligence, alongside increasing demands for reduced emissions in the shipping industry. As a result, these towering machines are transitioning from traditional mechanical roles to becoming intelligent, interconnected systems. This shift aims to enhance operational efficiency and sustainability in port operations, fundamentally redefining logistics practices worldwide. The integration of smart technologies is expected to improve the speed and accuracy of cargo handling, ultimately benefiting global trade.
Logistics Material handling ai automation automated container cranes automation news cargo handling
Why Precision Swiss Machining is Critical to the Future of Robotics and Automation
The industrial production landscape is undergoing a significant transformation due to the rapid advancements in robotics, factory automation, and intelligent manufacturing systems. This shift is characterized by an increasing reliance on highly precise mechanical systems that can operate continuously with minimal deviation. As automation technologies evolve and become more interconnected, modern manufacturing environments are integrating collaborative robots, automated assembly systems, and sensor-driven equipment. These innovations are not only enhancing efficiency but also improving the accuracy and reliability of production processes. The ongoing evolution in this sector reflects a broader trend towards smarter, more automated manufacturing practices that aim to meet the growing demands of global markets.
Automation Engineering Factories automated manufacturing automation hardware automation news
Bosch Rexroth vs Festo vs SMC : Les leaders de l’automatisation et de la pneumatique
In the modern industrial landscape, while robotics often garners significant attention, a crucial technological realm supporting automation lines, collaborative robots, and smart factories is industrial automation and pneumatics. Key components such as actuators, valves, motion systems, fluid control, servo drives, electrical automation, and connected platforms play an essential role in enhancing operational efficiency. The article highlights the competitive landscape among leading companies in this sector, specifically Bosch Rexroth, Festo, and SMC, examining their contributions and innovations in automation and pneumatics. This analysis underscores the importance of these technologies in driving industrial advancements.
À la une IA Industrie Robotique automatisation électrique automatisation industrielle.
Huawei rolls out HarmonyOS 6, ahead of next month’s Mate 80 launch
On Wednesday, Huawei introduced its latest operating system, HarmonyOS 6, during a press event. This new system will debut on the upcoming Mate 80 series, marking the company's first flagship smartphones to incorporate the updated software. The release focuses on providing a "smooth, intelligent, and secure" user experience, achieved through advanced integration of software and hardware. This strategic move aims to enhance the overall functionality and connectivity of Huawei devices, reinforcing the company's commitment to innovation in the competitive smartphone market.
Heavy Hitters E-commerce and New Retail Highlight News smartphone and devices
Application engineering for assembly systems is quietly becoming manufacturing’s biggest competitive edge
In a significant shift within the manufacturing sector, companies are increasingly focusing on application engineering to enhance assembly systems. This evolution is driven by the need for higher productivity and reduced error rates on the factory floor. Leading the charge is Atlas Copco, a prominent player in the industry, which is fully embracing this transformation. The emphasis is now on not just the machines themselves, but also on the engineering that connects and adjusts these machines in real-time to align with operational demands. As factories strive to optimize their processes, the integration of advanced engineering techniques is becoming essential for success in a competitive landscape.
Engineering Manufacturing application engineering assembly line automation assembly systems atlas copco
Small-AI Models Gain Traction Around the World
One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year.The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony.Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says.The spectrometer connected to the AI model—but the data center was 14,000 kilometers away and bandwidth was limited. “Our server was in the United States, and just to get the result of a single scan was taking me over 5 minutes.”So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo.More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of “small AI.”Small AI for Global Health Care AccessSmall AI is a far cry from wealthy nations’ colossal large language models (LLMs), hyperscale data centers, multibillion-dollar investments, and debates about AI consciousness. But for millions of people around the world, the only AI that matters, and often the only kind available, is small. (According to a World Bank Report issued in November, only 0.7 percent of internet users in the world’s poorest countries have used ChatGPT, compared to a quarter of all internet users in the most developed nations.)“Most people are discussing AI from the LLM/generative side. But that needs a lot of computing power, electricity, massive data, and skilled people to manage it,” Ajay Banga, president of the World Bank, said last January at the World Economic Forum, in Davos. “Outside the developed world, other than maybe India and China, very few countries have that combination.”By contrast, small AI can deliver useful, even life-saving services to people in areas that have none of those things, Banga said. In India, where the government’s AI plans call for more development of small AI, many such systems are working for farmers.For example, a drone-based system developed by Bala Murugan and colleagues at the Vellore Institute of Technology, in India, takes photos of cashew plants and quickly identifies those with splotches that indicate disease. All the processing takes place on the drone itself, so there’s no need for a computer on-site, nor for a connection to a central server.Using small language models trained for a specific problem, and sometimes running on cheap, low-power devices, other small-AI implementations have been developed to identify ant infestations in a Uruguayan vineyard, detect the presence of malaria-carrying mosquitoes in a number of nations, and run electrocardiograms from an Arduino device in parts of Brazil that lack access to more complex equipment.“This is the most important area in AI nowadays,” says Marcelo José Rovai, a professor at the Institute of Engineering and Information Systems at the Federal University of Itajubá, in Brazil, who was involved in all three projects. “It’s growing very fast.”Low-Power, Small-AI Models on Devices Small AI models can run on a variety of low-power devices, including [from left to right] an Arduino Nano 33 BLE Sense, a Seeed Wio Terminal, and an Arduino Portenta.Moez AltayebFor Alonge, Rovai, and other advocates, small AI is not just “a promising trend,” as that November World Bank report calls it. It may be, in the long term, the form of AI that will touch the most lives and remain sustainable after some of the giant models become too costly for most users.“I think the future of AI is not like one giant model, at a center. I think it’s millions of small, precise models deployed at the edge, each one solving like a specific problem, a specific context,” Alonge says. This is partly because much of humanity—including people in parts of rich countries as well as the developing world—lives without access to cutting-edge frontier models. But, he says, it’s also because those models are not sustainable.“If someone is not subsidizing it, most people will not be able to afford those models. So those of us who are said to be small-AI developers are the ones who will have to build for the majority of the world,” Alonge says.There is no strict definition of “small AI,” but people often use the term for language models with at most a few billion parameters. (Compare that to cutting-edge models, which can include more than a trillion.) That’s small enough to run directly on a phone or a Raspberry Pi. That’s what allows these applications to run on devices without a connection to a data center and use only a few watts of power, often supplied by a battery or a solar panel.Despite their small footprint, these models aren’t fundamentally different technology from that of gigantic AI models, Rovai says. Many instances of small language models were created the same way the phone-based version of Alonge’s pharmaceuticals scanner was—by “pruning” large models, or removing the parameters that weren’t involved in the task. The result is a system that’s less capable generally but still very good at the specific job it was pruned for, Rovai says. A lighter version of RxAll’s RxScanner spectrometer sends its results to an AI model run locally on a phone to check that a drug’s molecular signature is genuine.RxAllOther small models are created by “distillation.” They are trained to mimic a large model, until their performance approaches that of their “teacher,” Rovai says. In other cases, a larger model’s precision is reduced, for example, so that a model run on 32-bit architecture can run on 8-bit designs. In situations where the machine learning application is being used to classify data or predict patterns (like an ant infestation), it’s trained from the beginning on a small device, not derived from a larger model at all. Running all these small, specialized systems is becoming easier, Rovai says, for two reasons.The first reason is that hardware is getting better and more capable while using less power, he says. This means more and more phones can run small AI—especially those equipped with neural processing units, which are specialized chips that handle AI tasks like facial recognition and changing the brightness, shadows, or contrast in a photo.In 2025, slightly more than a third of all smartphones shipped worldwide were capable of running generative AI, and that figure will reach 45 percent by the end of this year, according to the technology research firm Counterpoint. By the end of next year, slightly more than half of all smartphones will be able to run a small AI model.The second reason Rovai cites is the shrinking footprint of language models. Both Google DeepMind’s Gemma 4 (released in April) and Alibaba’s Qwen 3.5 are “fantastic” for small AI, Rovai says. Both models are “open weight,” meaning users can adjust the connections between parameters to suit their needs. This makes it easy, for example, “to take a lot of data from, say, the milk industry and retrain the model specifically on that,” Rovai says.Rovai illustrated these reasons on a Zoom call, using one of his most recent experiments. Holding up a device, he says, “This is the new Arduino UNO Q—a US $50 device with a Qualcomm chipset. I’m running a language model here, which collects data from sensors and analyzes that data to detect tiny pools of water where mosquitoes might be breeding. It takes 3 watts to run it.”Support for Small-AI DevelopmentConvinced that millions of people are already benefiting from these kinds of applications, the World Bank now actively promotes small AI with grants, mentorship programs, financing, technical advice, and models of government policies that are friendly for small-AI development. For example, in Rwanda, the World Bank is backing a government program to help low-income households get devices that can run AI.All that said, no one claims that large language models are going away entirely. To create a generative AI that can run on a phone or other small device requires the architectural insights, data processing, and results of a larger model, Rovai says. “We need the big models to create these smaller models.” And for all that small AI can benefit people without access to big AI, the technology can’t solve the larger problems of development and digital inequality, Alonge says. Implementing small AI won’t allow nations to escape the challenge of creating an ecosystem to support AI: reliable power, a supply chain that works, and an educational system that develops the talents needed to create AI tools.Though his drug-scanning system can run for days on a phone with no connection, “you still want to be able to enable periodic syncing for updates with new signatures for the medications and analytics,” Alonge says. “And even when you are using batteries, reliable power is important. That phone battery is not going to last forever.”In many parts of the world, the future of small AI isn’t assured, he says. “It works, and many places will eventually need to use it. The question is whether or not the political actors are wise enough to invest in infrastructure to support it long term.”
Small-language-models Artificial-intelligence Llms
AGIBOT Showcases Embodied AI Robots at VivaTech 2026 in Paris
AGIBOT, a leader in embodied AI and robotics, showcased its innovative humanoid robots at the 10th-anniversary celebration of VivaTech 2026 in Paris on June 23. The event, held on the iconic Champs-Élysées, allowed visitors to engage with cutting-edge technologies, including live demonstrations of AGIBOT's robotics capabilities in areas such as interaction, locomotion, and manipulation. William Shi, AGIBOT's President for Europe and the Americas, emphasized the shift in the humanoid robotics industry from experimental concepts to practical applications, highlighting the importance of platforms like VivaTech for connecting with the technology and business communities in Europe. During the event, AGIBOT's robots, including the X2 and D1 models, participated in a coordinated performance and a robot parade, captivating an audience of 2,000. Additionally, AGIBOT engaged in a bilingual panel discussion focused on the future of AI and humanoid robotics, exploring the transition from demonstration to real-world deployment. The company aims to advance its robotics technologies to create smarter and safer robotic solutions for various applications. AGIBOT's commitment to innovation is underscored by the recent milestone of producing its 10,000th robot earlier this year.
Songyan Power Unveils OpenHarmony Consumer Humanoid Robot at HDC2026
At the HDC2026 conference, Songyan Power unveiled its first consumer-grade humanoid robot, which operates on the OpenHarmony platform. This launch highlights significant advancements in technology integration and the development of a cohesive ecosystem. The company is focused on enhancing user experience by ensuring the robot can seamlessly connect with smart home devices and educational tools. Additionally, Songyan Power announced a new initiative titled '100 People, 100 Machines,' aimed at encouraging collaboration among developers within the industry. This initiative seeks to foster innovation and expand the capabilities of humanoid robots in everyday applications.
Humanoid Robots OpenHarmony AI Developer Ecosystem Smart Home Technology
China’s Xiaomi unveils robotic arm that enables remote, hands-free home EV charging
Xiaomi, the prominent Chinese technology company, recently unveiled its strategic vision for the future of smart home technology during a press event held in Beijing. This announcement, made on October 15, 2023, highlights the company's commitment to enhancing user experience through innovative products and seamless integration of smart devices. The initiative aims to address the growing demand for interconnected home environments, driven by an increase in remote work and digital lifestyles. By leveraging advancements in artificial intelligence and the Internet of Things, Xiaomi plans to create a more intuitive and responsive ecosystem that simplifies everyday tasks for consumers. During the event, executives showcased a range of new products designed to work harmoniously within this ecosystem, emphasizing the importance of user-friendly interfaces and energy efficiency. The company also outlined its plans for expanding partnerships with other tech firms to enhance compatibility and functionality across various platforms. Xiaomi's vision reflects a broader trend in the tech industry, where companies are increasingly focused on creating smart solutions that cater to the evolving needs of consumers. As the market for smart home devices continues to grow, Xiaomi's proactive approach positions it as a key player in shaping the future of home automation.
Energy
China’s UBTECH plans to send life-like humanoid robot companions in customer’s homes
Chinese robotics company UBTECH has introduced a new consumer-focused brand named UWORLD, alongside the launch of its innovative U1 robot. This announcement was made during a press event held on October 15, 2023, in Beijing, where company executives highlighted their commitment to advancing robotics technology for everyday use. The U1 robot is designed to enhance home automation and personal assistance, reflecting UBTECH's strategy to expand its market presence beyond industrial applications. By targeting consumers, UBTECH aims to meet the growing demand for smart home devices and improve the quality of life through advanced robotics. The U1 robot features user-friendly interfaces and connectivity options, making it accessible for a wide range of users. This launch marks a significant step for UBTECH as it seeks to establish itself as a leader in the consumer robotics sector.
Ocean Robotics Planet Magazine Issue 47 is out now!
A recent announcement from a leading technology company revealed the launch of its latest smartphone model, set to hit the market next month. The unveiling took place during a high-profile event in San Francisco, where executives showcased innovative features aimed at enhancing user experience and connectivity. This new device is designed to compete with other flagship smartphones by integrating advanced artificial intelligence capabilities and improved camera technology. The company aims to capture a larger share of the market, responding to growing consumer demand for cutting-edge technology. The smartphone will be available for pre-order starting next week, with a full retail launch scheduled for the following month.
rov planet magazine ocean robotics planet magazine no:47 2026
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is leveraging its latest Android rollout to establish Gemini as the central artificial intelligence layer across a range of devices, including smartphones, Chromebooks, laptops, and vehicles. This strategic move aims to enhance user experience by integrating advanced AI capabilities into everyday technology. The rollout, which began in October 2023, reflects Google's commitment to innovation and its vision of a seamlessly connected ecosystem. By embedding Gemini across multiple platforms, the tech giant seeks to streamline operations and improve functionality, making AI more accessible and beneficial for users in their daily lives.
Why Latency Still Haunts Industrial Automation and What Engineers Are Doing About It
Recent advancements in network technology are transforming the industrial landscape by enabling near-zero latency and deterministic timing, which are crucial for the seamless integration of various technologies on the factory floor. This evolution is particularly significant for the coexistence of robotics and 5G systems, allowing them to operate efficiently alongside one another. The developments are driven by the need for enhanced operational efficiency and productivity in manufacturing environments. By leveraging smart network design, industries can optimize their processes, ensuring that machines communicate in real-time without delays. This innovation not only improves workflow but also enhances the overall performance of automated systems, paving the way for a more interconnected and responsive manufacturing ecosystem. As these technologies continue to evolve, they promise to redefine traditional manufacturing practices and set new standards for industrial operations.
Factory / Communication
Industrial Automation and Robotics for Educators: Training the Next Generation
The rapid evolution of industrial automation and robotics is reshaping global manufacturing, leading to an increased need for a skilled workforce adept at managing advanced machinery. As educators strive to connect theoretical engineering principles with the practical demands of modern smart factories, there is a pressing requirement for classroom tools that reflect real-world equipment. By 2026, the integration of robotics into STEM curricula is expected to be crucial for fostering critical thinking and technical literacy among students. Educational programs are shifting towards "Embodied Intelligence," where learners engage with sophisticated technologies like industrial robot arms, enhancing their understanding of vision systems, sensor feedback, and machine learning. This hands-on experience equips students with essential skills in industrial safety, workflow optimization, and predictive maintenance, preparing them for careers as automation engineers and technicians. However, challenges persist, including the high costs and complexities associated with traditional industrial robots, which often require specialized facilities and safety measures. To address these issues, educational institutions are exploring "all-in-one" solutions that prioritize safety and usability while maintaining industrial-grade performance. JAKA Robotics is stepping up to meet these educational needs by providing tools that facilitate a safe learning environment. Their JAKA Academy offers a comprehensive training platform with courses ranging from basic operations to advanced software development. The versatile JAKA Zu and S series robots are designed for both research and classroom use, allowing students to engage in practical tasks and develop innovative AI-driven workflows. By incorporating JAKA's technology into educational settings, students are empowered to become the next generation of leaders in industrial automation.
Which Company Makes Industrial Robots?
The global manufacturing sector is witnessing a significant transformation as it shifts from traditional high-speed automation to flexible collaborative systems. This change, driven by the emergence of "Industry 5.0," prioritizes human-machine synergy, allowing robots to operate safely alongside human workers. By 2026, the industrial robotics market has diversified, with companies adapting to the specific needs of production lines, moving beyond the dominance of the "Big Four" in heavy-duty manufacturing. Innovators in the field are now focusing on creating robots that are "Smart, Simple, Small," featuring intuitive graphical interfaces and wireless connectivity. This shift has enabled smaller enterprises to adopt automation technologies previously reserved for larger factories, resulting in increased productivity across various sectors, including electronics, food and beverage, and logistics. JAKA Robotics, a leader in this industrial revolution since 2014, emphasizes the concept of "embodied intelligence" in its robots. Their JAKA Zu series supports payloads up to 20kg with high precision, while the JAKA A series caters to delicate assembly lines with even greater accuracy. JAKA distinguishes itself with user-friendly innovations, such as mobile terminal APP control, which simplifies the automation process. The company’s commitment to providing safe and reliable robotic solutions positions it at the forefront of the evolving landscape of industrial innovation, paving the way for a new era in manufacturing.
How ProAV Impacts Industrial Automation Networks
Recent advancements in deterministic Ethernet and time-sensitive networking standards are transforming industrial networks, enhancing both safety and speed. These developments are particularly significant as certification programs are now facilitating multi-vendor interoperability, allowing different systems and devices to work seamlessly together. This progress is crucial for industries that rely on real-time data transmission and require reliable communication between various components. By implementing these standards, companies can expect improved operational efficiency and reduced downtime, ultimately leading to more robust industrial environments. The push for these technologies reflects a growing demand for smarter, more connected industrial solutions that can adapt to the complexities of modern manufacturing and automation.
Factory / Communication
How to Achieve Remote Monitoring and Diagnostics for Controllable Robot Systems
In the evolving landscape of smart manufacturing, the significance of collaborative robots is shifting from mere physical performance to the ability to be managed remotely. As production environments become increasingly decentralized, companies are prioritizing remote monitoring and diagnostics to oversee robot health, predict maintenance needs, and troubleshoot issues without on-site presence. To achieve effective remote management, a combination of advanced hardware sensors and cloud-based software is essential. Utilizing the Industrial Internet of Things (IIoT), data from robots—including motor temperature and power consumption—is streamed to centralized dashboards. Secure data transmission protocols like OPC UA and MQTT facilitate communication with Manufacturing Execution Systems, enabling the use of "Digital Twin" technology. This allows real-time mirroring of a robot's movements, triggering automated alerts for predictive maintenance to prevent costly downtimes. JAKA is at the forefront of this innovation, moving beyond traditional operations to create a connected ecosystem. Their "Smart, Simple, Small" philosophy ensures that managing JAKA systems is as user-friendly as mobile applications. With advanced wireless teaching and cloud management tools, users can monitor their fleet of robots globally from a single interface. JAKA's software suite enables remote diagnostics, providing real-time feedback on robot status, which is crucial for maintaining continuous production across various locations. The integration of AI-driven vision and sensing further enhances remote monitoring capabilities. By investing in JAKA, companies are securing a future-proof solution that ensures control and productivity, regardless of geographical constraints.
Top 5 Trends of the Industrial Cobot Industry in 2026
The industrial cobot sector is experiencing significant advancements, particularly in 2026, as manufacturers increasingly integrate collaborative robots into their operations. JAKA, a key player in this field, highlights several emerging trends that are shaping the future of robotics and automation. One major trend is the demand for adaptable automation systems. The JAKA Pro5 exemplifies this shift by being highly reprogrammable, allowing manufacturers to efficiently adjust to varying production needs while minimizing downtime and equipment costs. Safety remains paramount, with collaborative robots being deployed to replace human operators in hazardous environments. The JAKA Pro5 enhances workplace safety by performing tasks like polishing and grinding, thereby reducing the risk of accidents and ensuring a safer production environment. Another significant trend is the emphasis on precision and consistent quality. Industrial operators are increasingly relying on cobots to deliver reliable processing outcomes, with the JAKA Pro5 helping to lower defect rates and meet stringent quality standards. Moreover, the integration of smart manufacturing and Industry 4.0 technologies is influencing cobot deployment. The JAKA Pro5 connects seamlessly with production monitoring systems, providing real-time insights that optimize workflows and enhance operational efficiency. Finally, the applications of collaborative robots are expanding across various industries, including electronics, automotive, and food processing. The versatility of the JAKA Pro5 supports this trend, enabling it to perform complex tasks tailored to different production lines. As 2026 unfolds, these trends underscore the evolving role of collaborative robots in enhancing efficiency, safety, and quality within the robotics and automation industry, with JAKA committed to advancing solutions that align with these developments.
KNF Introduces Intelligent Pump Features for Flow, Pressure and Vacuum Control and Versatile Dosing
A new line of pumps has been introduced that can function autonomously or be controlled through analog signals, including control voltage. These advanced pumps are designed to integrate seamlessly into complex systems, supporting modern communication protocols such as UART. This capability allows for enhanced connectivity within smart environments, making them suitable for a variety of applications. The launch of these pumps is expected to improve operational efficiency and adaptability in various industries, reflecting the ongoing trend towards automation and smart technology integration.
Beyond Cobots: Integrating Robotic Automation with AGVs and IIoT Systems
In recent years, manufacturing has experienced a significant transformation as companies shift from standalone automation to interconnected and flexible systems. JAKA, a leader in collaborative robot technology, has observed this evolution, where production environments are increasingly designed around coordinated robots, autonomous guided vehicles (AGVs), and Industrial Internet of Things (IIoT) platforms. This transition enables automation to adapt dynamically to real production conditions while ensuring safety and flexibility in workplaces that prioritize human interaction. Initially, collaborative robots were embraced for their ability to work safely alongside human operators, facilitating smoother automation processes. As their applications have matured, integrating these robots with AGVs and IIoT systems has become a logical progression. This integration allows for synchronized material handling and processing tasks, enhancing efficiency. IIoT connectivity further supports real-time data exchange, enabling predictive maintenance and improved process visibility, which is crucial for maintaining flexibility in production lines. AGVs play a pivotal role in extending automation beyond fixed workstations. When connected through IIoT infrastructure, these vehicles and robots can share crucial information, reducing idle time and manual interventions while enhancing workflow traceability. This coordination not only boosts operational efficiency but also increases transparency, allowing for continuous optimization and informed decision-making. To facilitate this integrated approach, JAKA has developed the Ai12, a collaborative robot designed for easy deployment through wireless teaching and graphical programming. This technology enhances safety and adaptability, allowing for seamless human-robot interaction. JAKA envisions a future where industrial robotic automation is not merely a collection of isolated machines but a cohesive system that evolves with production demands, fostering smarter and more responsive industrial environments.
Do you trust me? A framework for making networks of robots and vehicles safer
In an era where technology is increasingly interwoven into daily life, the importance of trust and coordination among interconnected systems has come to the forefront. This principle is evident in various domains, from the natural world, where birds fly in formation, to educational settings, where students collaborate on projects. The rise of networks of connected machines, such as self-driving rideshare fleets and smart power grids, underscores the necessity for these systems to operate seamlessly. As these technologies continue to evolve, ensuring that each component can rely on the others is crucial for their effective functioning and overall success. This growing reliance on interconnected systems highlights the need for robust communication and trust mechanisms to facilitate their development and integration into society.
Robotics
JAKA Zu Series vs. JAKA S Series: Which Cobot Suits Your Precision Needs Best?
JAKA, a leader in automation solutions for modern manufacturing, is showcasing its range of collaborative robots designed to enhance precision, flexibility, and safety in production environments. The JAKA Zu Series, particularly the Zu7 model, is tailored for high-precision tasks such as painting and packaging, effectively replacing manual labor while improving production rates and reducing material waste through its accurate control and repeatability. In contrast, the JAKA S Series focuses on smart control and safety, featuring advanced force-sensing and collision protection algorithms that enhance human-robot interaction. This series is designed for easy programming, allowing operators without coding experience to manage complex tasks, making it ideal for environments with limited space or frequently changing processes. Both series facilitate extensive system integration, connecting seamlessly with manufacturing execution systems (MES), automated guided vehicles (AGVs), and vision equipment. This integration supports a flexible manufacturing ecosystem, optimizing productivity and reducing deployment time. As clients evaluate their options, JAKA emphasizes the importance of selecting the right cobot based on specific operational needs. The Zu Series is recommended for high-volume, repetitive applications, while the S Series is better suited for adaptable operations requiring close collaboration with human workers. By understanding the unique strengths of each series, JAKA aims to help clients enhance their production efficiency and meet precision requirements in modern manufacturing.
Top 5 Trends of the Industrial Robotics Solutions Industry in 2026 (Focus on AI & Cloud)
The automation sector is witnessing significant advancements, particularly in industrial robotics, as companies like JAKA adapt to evolving demands for flexibility, intelligence, and connectivity. As the industry heads toward 2026, five key trends are shaping the future of robotic solutions. Manufacturers are increasingly focusing on adaptive and accessible automation, enabling easier deployment and reconfiguration of sophisticated systems. JAKA is leading this shift with user-friendly interfaces that allow shop-floor personnel to quickly set up industrial welding robots, minimizing downtime and skill barriers. Another trend is the growth of cloud-connected system management, which facilitates centralized monitoring and data analytics across multiple robotic arms. This connectivity allows manufacturers to optimize maintenance and streamline operations, particularly in welding applications where real-time tracking of consumable usage is crucial. Artificial intelligence is also playing a pivotal role, moving beyond vision inspection to enhance real-time process control. JAKA's AI-enhanced welding robots can make instantaneous adjustments, improving efficiency and reducing rework by compensating for material variations. The expansion of human-robot collaboration is evident as collaborative robots (cobots) become smarter and more integrated into workflows. JAKA's cobots assist operators in welding tasks, allowing humans to focus on quality inspection and decision-making, thereby boosting productivity. Lastly, the integration of digital twin technology is gaining traction, enabling manufacturers to simulate robotic processes without disrupting production. JAKA's compatibility with simulation platforms allows for pre-validation of welding paths, reducing debugging time and accelerating return on investment. These trends underscore a shift toward more connected and intelligent automation, with JAKA committed to developing user-centric solutions that meet the demands of the smart factory era.
Import AI 447: The AGI economy; testing AIs with generated games; and agent ecologies
A recent exploration into the concept of superintelligence arcologies has sparked interest among futurists and urban planners. This innovative idea envisions self-sustaining, high-density urban environments that integrate advanced artificial intelligence to enhance living conditions and resource management. The discussion gained momentum in October 2023, as experts gathered at a technology conference to examine the potential benefits and challenges of such developments. Proponents argue that superintelligence arcologies could address pressing global issues, including climate change, urban overcrowding, and resource scarcity. By leveraging AI, these structures could optimize energy use, waste management, and transportation systems, creating a more sustainable urban ecosystem. The integration of smart technology would allow for real-time data analysis, enabling residents to make informed decisions about their environment. Critics, however, caution against the risks associated with relying heavily on AI for urban living. Concerns about privacy, security, and the potential for systemic failures in such complex systems were highlighted during the discussions. The feasibility of constructing these arcologies also raises questions about economic viability and societal acceptance. As the conversation continues, researchers and developers are exploring various models and designs for superintelligence arcologies, aiming to create prototypes that could be tested in real-world scenarios. The outcome of these efforts could significantly shape the future of urban living, potentially transforming cities into interconnected, intelligent habitats that prioritize sustainability and quality of life.
ASK-100-CB – A Practical Entry into Cobot Welding
Akon Robotics has unveiled the ASK-100-CB, a cobot-assisted welding cell designed to tackle the challenges faced by small and medium-sized manufacturers, such as fluctuating batch sizes and a shortage of skilled welders. Launched recently, this innovative solution combines a JAKA collaborative robot with a Kemppi welding system, providing a compact and mobile unit that simplifies the automation of welding processes. The ASK-100-CB is engineered for flexible, high-mix welding applications, allowing manufacturers to adapt quickly to changing components without extensive reprogramming. Operators can easily program the system through a user-friendly drag-and-drop interface and access controls via PC, tablet, or smartphone, enhancing usability on the shop floor. Key features include a 180° rotary table for simultaneous loading and unloading, which maximizes efficiency and minimizes idle time, crucial for achieving rapid returns on investment in low-volume production. Safety is prioritized with a protective enclosure and compliance with CE risk assessments, while connections for fume extraction promote a clean working environment. Customers who have implemented the ASK-100-CB report significant improvements, including reduced scrap rates, enhanced productivity, and better ergonomic conditions for operators. The fully integrated solution ensures that all components work seamlessly together, allowing manufacturers to focus on production outcomes rather than system integration challenges. This development illustrates how collaborative robotics can make welding automation both practical and economically viable for modern manufacturing.
Xiaomi rolls out HyperOS 3 with “super island” interface, similar to Apple’s dynamic island
Xiaomi unveiled its latest operating system, HyperOS 3, on Thursday, introducing a new Super Island interface designed to improve interactions across smart devices. This innovative system features a three-island coexistence layout, enabling users to simultaneously access various types of information such as charging status, navigation directions, and delivery notifications. The update allows for quick access through mini windows, streamlining user experience. This launch reflects Xiaomi's commitment to enhancing connectivity and usability within its ecosystem of devices.
News Feed
Fortune on the way back | Estun Codroid sends you full of fortune at Nanjing South Railway Station!
On January 22, as the Spring Festival celebrations reached their peak, Nanjing South Railway Station became a bustling center of activity, reflecting the deep emotions and hopes of countless travelers. Thousands of individuals converged at the station, each carrying their own stories of longing and connection to home. The atmosphere was charged with anticipation as families reunited and friends gathered, embodying the spirit of the holiday. This annual migration underscores the significance of the Spring Festival in Chinese culture, where returning home is a cherished tradition. The station, filled with the sounds of laughter and the hustle of passengers, served as a poignant reminder of the bonds that tie people to their roots during this festive season.
ESTUN AUTOMATION ROBOTICS SERVO SYSTEMS
How Equipment Asset Management Practices Must Evolve for Industry 4.0 to Deliver on its Promise
Industry 4.0 is poised to revolutionize manufacturing and supply chain management through the integration of connected sensors and intelligent systems. This technological advancement enables machines to predict failures, production lines to self-optimize based on real-time demand, and supply chains to adapt autonomously without human oversight. Despite the substantial investments and credible case studies showcasing its potential, many companies are hesitant to fully embrace these innovations. The reluctance stems from concerns over implementation challenges, workforce adaptation, and the need for a cultural shift within organizations. As the industry continues to evolve, understanding and addressing these barriers will be crucial for harnessing the full benefits of Industry 4.0.
Engineering Industry ai in manufacturing asset reliability automation news condition monitoring
Siemens et la robotique : comment le géant allemand redéfinit l’usine intelligente
Siemens, the German conglomerate established in 1847, is playing a crucial yet often overlooked role in the transformation of industrial factories, particularly in the realm of robotics. While companies like ABB, FANUC, and KUKA are well-known for manufacturing industrial robots, Siemens focuses on redefining smart factories through its innovative technologies. The company does not produce robots directly but contributes significantly to the automation and efficiency of manufacturing processes. This shift towards smarter, more integrated factory systems is reshaping the landscape of industrial robotics, highlighting Siemens' influence in an area typically dominated by traditional robot manufacturers. The insights into Siemens' impact on industrial robotics were discussed in a recent article featured in Robot Magazine.
À la une Actualités IA Industriel Robotique automatisation industrielle.
Digital Twins: Transforming the Factories of the Future
As media attention focuses on humanoid robots and generative artificial intelligence, a less flashy yet equally transformative technology is quietly reshaping the global industry: digital twins. This innovative approach is emerging as a crucial element in the ongoing industrial transformation, offering strategic advantages that may rival those of more visible technologies. The concept of digital twins involves creating virtual replicas of physical systems, enabling companies to optimize operations and improve efficiency. This shift is expected to significantly impact the future of manufacturing, positioning digital twins as a foundational component in the evolution of factories worldwide.
À la une IA Industrie Robotique analyse de données industrielles automatisation industrielle.
Why Factory Automation Now Depends on Software-Savvy Workers
As automation increasingly integrates into production environments, the demand for workers skilled in managing technology is rising. Traditionally, factory automation was characterized by robotic arms performing repetitive tasks behind safety barriers. However, the evolving landscape now requires employees to navigate complex dashboards, respond to alerts, and make data-driven decisions. This shift reflects a broader trend in which the role of human workers is transforming from manual labor to technological oversight, necessitating a new set of skills to effectively collaborate with advanced machinery. The growing reliance on automation is reshaping the workforce, prompting a need for training and adaptation to ensure that employees can thrive in a more automated future.
Automation Factories Robotics automation news automation workforce cobots
Dassault Systèmes vs Siemens vs PTC : qui gagne la bataille du digital twin ?
The digital twin technology is emerging as a cornerstone of the future industry, aiming to create accurate virtual representations of products, processes, or entire systems. This innovation enables real-time simulation, optimization, and prediction of behaviors. In this competitive landscape, three major players—Dassault Systèmes, Siemens, and PTC—are leading the charge in the battle for dominance in the digital twin market. The ongoing rivalry among these companies highlights the strategic importance of digital twins in enhancing operational efficiency and driving technological advancement. The article originally appeared in Robot Magazine, exploring the competitive dynamics shaping this transformative field.
À la une Actualités IA Industriel Robotique automatisation industrielle.
FANUC met l’accent sur l’automatisation flexible et l’IA physique
From March 30 to April 2, 2026, the Global Industrie trade show will return to Paris-Nord Villepinte, bringing together key players in the industrial sector to discuss significant transformations within the industry. During this event, FANUC will showcase several innovations at its booth (Hall 5 – F161), highlighting current advancements in industrial robotics, including equipment flexibility and digitalization. This focus on flexible automation and physical AI underscores the company's commitment to evolving technologies in the manufacturing landscape.
À la une Actualités IA Industriel Robotique automatisation industrielle.Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
