Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
ABB Introduces Flexley Stack F712 AI-Powered Forklift with Visual SLAM Technology
On July 8, ABB Robotics launched the Flexley Stack F712, an AI-driven autonomous forklift utilizing visual SLAM technology. This product completes ABB's lineup of autonomous mobile robots (AMRs), which now includes forklifts, tuggers, and transport vehicles. The F712 can handle various load types, with a maximum capacity of 2000 kg and a lifting height of 8.5 meters, achieving a top speed of 1.7 meters per second under full load. The significance of the F712 lies in its advanced navigation capabilities, which eliminate the need for traditional infrastructure like reflective markers or magnetic strips. With a positioning accuracy of ±10 mm, the F712 can autonomously navigate complex warehouse environments. It integrates seamlessly with the AMR Studio software, allowing for rapid deployment and fleet coordination, reducing debugging time by 20% compared to traditional systems. Looking ahead, the F712 is designed to support various internal logistics tasks, including warehousing and production line operations, and is compliant with the latest ISO and ANSI safety standards. No further timeline was disclosed at the time of publication, but the F712 represents a significant step towards more autonomous and capable robotic solutions in smart manufacturing environments.
Autonomous Forklifts AI Robotics Warehouse Automation Visual SLAM Logistics Technology
ABB Robotics Introduces Flexley Stack F712 Platform for AI-Driven Autonomous Forklifts
ABB Robotics has launched the Flexley Stack F712 platform, enhancing its AMR portfolio with AI-powered visual technology for autonomous forklifts. This innovation facilitates pallet transport and high-density storage, creating a cohesive ecosystem among ABB’s Visual SLAM AMR types, aimed at improving efficiency in material handling and warehouse operations across various industries, including automotive manufacturing. The introduction of the F712 is significant as it addresses the growing demand for faster and more flexible goods movement in intralogistics, particularly under constraints of limited labor availability. Marc Segura, president of ABB Robotics, emphasized the need for businesses to adapt to increased processing demands while leveraging advanced vision, mobility, and intelligence in their operations. Looking ahead, the Flexley Stack F712 can manage diverse load types and sizes, allowing customers to implement mixed fleets of Visual SLAM-powered vehicles on a unified navigation and fleet management platform. No further timeline was disclosed at the time of publication.
Factory / Analytics
MIT and York University Study Visual Learning in the Brain Using Neural Networks
Researchers at MIT’s McGovern Institute for Brain Research and York University in Toronto have investigated how visual learning occurs in the brain. By analyzing neural activity and utilizing computational modeling, they compared the learning processes of animals and an artificial neural network designed to mimic brain architecture. Their findings, published on July 8 in Nature Communications, reveal that changes in visual processing are crucial for learning to discriminate new objects. This research is significant as it enhances our understanding of the brain's adaptability and the mechanisms behind visual learning. The study suggests that while the overall activity patterns in the inferior temporal cortex remain stable, subtle changes occur in response to learned object recognition. These insights could inform educational strategies and improve learning outcomes across various contexts. Looking ahead, the researchers aim to further explore how these modest changes in neural activity contribute to learning. They believe that artificial neural networks can provide valuable insights into biological learning processes, potentially leading to new experimental approaches and predictions that extend beyond current understanding. No further timeline was disclosed at the time of publication.
Research Neuroscience Learning Brain and cognitive sciences Computer modeling Vision
Phoxter to showcase AI inspection, AMR, and warehouse control systems at Robot Technology Japan 2026.
Phoxter Co., Ltd. will showcase its innovations at the upcoming "Robot Technology Japan 2026" exhibition, scheduled to take place from June 11 to June 13, 2026, at the Aichi Sky Expo. This event aims to highlight advancements in robotics technology and foster collaboration within the industry. By participating, Phoxter seeks to demonstrate its commitment to driving innovation and engaging with potential partners and customers in the rapidly evolving robotics sector.
Fujitsu Leads Initiative to Integrate Nvidia Technology in Japanese Robotics and AI
Fujitsu, a prominent Japanese communications company, is spearheading an initiative to integrate Nvidia's technology into artificial intelligence applications. This collaboration aims to merge Japan's advanced manufacturing capabilities in robotics with cutting-edge AI solutions. The significance of this initiative lies in its potential to enhance the efficiency and effectiveness of robotics in various sectors. By leveraging Nvidia's technology, Fujitsu seeks to position Japan at the forefront of the global AI and robotics landscape, showcasing the country's strengths in innovation and manufacturing. Looking ahead, industry stakeholders will be keen to observe the developments stemming from this collaboration. No further timeline was disclosed at the time of publication, but the integration of Nvidia's technology could lead to significant advancements in physical AI applications within Japan's robotics sector.
Robotics
Efort to Showcase Universal Base Technology at WAIC 2026 for Robotics Advancement
Efort's QiZhi will present its Universal Base technology at the WAIC 2026, aiming to enhance the capabilities of robots. The technology focuses on providing a foundational infrastructure that allows robots to learn and perform tasks across various scenarios, addressing the industry's need for a generalized capability rather than just hardware improvements. This initiative is crucial as the robotics sector has seen a significant influx of capital, with funding in the domestic embodied intelligence sector surpassing 93.5 billion yuan in the first half of 2026. However, the industry consensus highlights a gap in data availability and the need for a robust framework to enable effective learning and task execution by robots. Looking ahead, Efort's approach could redefine the landscape of robotics by shifting the focus from hardware specifications to a comprehensive technological foundation. As the industry transitions from demonstration to practical applications, the success of this Universal Base technology will be pivotal in overcoming existing challenges and enhancing the deployment of robots in real-world scenarios. No further timeline was disclosed at the time of publication.
Robotics AI Industrial Automation Machine Learning
Denso Wave to Showcase Factory Robots and 3D Vision AI at ROBOT TECHNOLOGY JAPAN 2026
Denso Wave will participate in the upcoming "ROBOT TECHNOLOGY JAPAN 2026," scheduled to take place from June 11 to June 13, 2026, at the Aichi Sky Expo in Aichi Prefecture. This event aims to showcase advancements in robotics technology, reflecting the growing interest and innovation in the field. Denso Wave's involvement highlights its commitment to contributing to the development and promotion of robotics solutions.
RAD Secures £4.4 Million Funding to Enhance Autonomous Marine Technology and Electric Propulsion Systems
RAD, a marine technology firm, has successfully raised £4.4 million in funding to accelerate the commercialization of its autonomous vessel technologies and expand its electric propulsion systems. This funding round, led by Mercia Ventures, comes after a year of significant product development and customer engagement, including the launch of the Axon open systems architecture for uncrewed vessels at the Combined Naval Event in May 2026. The funding is crucial as RAD aims to capitalize on the growing demand for flexible and scalable marine solutions in both defense and commercial sectors. The Axon architecture allows for rapid development and integration of uncrewed vessel capabilities, which is expected to enhance operational efficiency and reduce vendor lock-in for operators. With this investment, RAD is positioned to lead the electrification shift in marine technology, similar to trends seen in road transport. Looking ahead, RAD plans to utilize the funds for international expansion, including establishing a presence in the U.S. market, and further developing its electric propulsion systems and energy management technologies. The company is also focused on enhancing its engineering capabilities to meet the increasing demand from its diverse customer base. No further timeline was disclosed at the time of publication.
rad raise investment commercialisation autonomous marine technology propulsion systems
Harbin Institute of Technology Professor Establishes PHANES AI to Advance Tactile Robotics
Professor Yang Shuo from Harbin Institute of Technology (Shenzhen) has founded PHANES AI, focusing on human data, tactile perception, and world model research. The startup aims to enable humanoid robots to perform agile full-body movements. A key challenge identified is the gap in current training data, where visual cues do not capture the tactile feedback necessary for successful robotic operations. This initiative is significant as it addresses the limitations of existing robotic training methodologies, which rely heavily on visual data without incorporating tactile information. Recent studies, including NVIDIA's EgoScale, highlight the importance of first-person human operation data in training robots for complex tasks. By leveraging large amounts of human data combined with minimal real-world data, PHANES AI seeks to enhance the success rate of robots in intricate operations. Looking ahead, PHANES AI plans to develop innovative methods for collecting and scaling tactile data through its EgoTouch system, which integrates visual and tactile information. The startup's approach aims to bridge the gap between visual perception and physical interaction, ultimately improving the capabilities of humanoid robots in real-world applications. No further timeline was disclosed at the time of publication.
Humanoid Robots Tactile Perception Robotics AI Data-Centric AI
Ruiwei Technology Becomes First Visual Embodied Intelligence Company on Hong Kong Stock Exchange
On July 8, 2026, Ruiwei Technology (07656.HK) officially listed on the Hong Kong Stock Exchange, closing at HKD 21 per share, with a market capitalization of approximately HKD 6.411 billion. This marks the first company to enter the market under the Hong Kong Stock Exchange's Chapter 18C specialized technology rules, positioning itself as a leader in 'visual embodied intelligence.' Ruiwei's revenue from its smart civil aviation business reached CNY 172 million by the end of 2025, accounting for 38.9% of total revenue. The company is rapidly diversifying, with smart commercial and smart safe driving segments contributing 34.9% and 26.2% of revenue, respectively. However, the embodied intelligence robotics segment was not disclosed as a separate revenue stream in the prospectus. Looking ahead, Ruiwei aims to leverage its decade-long expertise in 3D spatial perception from airport facial recognition systems to expand into embodied intelligence robotics. The company plans to use over 50% of its IPO proceeds, approximately HKD 5.29 billion, for research and development in visual large models, embodied technology, and commercial robot hardware, targeting significant overseas revenue growth within 3 to 5 years.
Visual Intelligence Facial Recognition Robotics AI Technology
Yuejiang and OptoReach Form Strategic Partnership to Accelerate the Application of 'One Brain, Multiple Bodies' Embodied Industrial Solutions
Yuejiang Technology and OptoReach have entered into a strategic cooperation agreement to advance integrated embodied industrial solutions. This partnership, announced recently, seeks to leverage advanced robotics and AI visual technologies to improve the application of embodied intelligence within the manufacturing sector. By combining their expertise, the two companies aim to innovate and enhance operational efficiencies in industrial processes, reflecting a growing trend towards automation and intelligent systems in manufacturing.
Industrial Robotics AI Visual Technology Embodied Intelligence Smart Manufacturing
HeShan Technology Raises Hundreds of Millions in Series B Funding Amid Fourfold Order Growth
HeShan Technology, based in Beijing, has successfully completed a Series B funding round, raising hundreds of millions of yuan. The investment comes from a mix of industrial capital and specialized investment firms, including TaiPing Innovation and Junsheng Electronics. This funding marks the third financial boost for the company in six months, with plans for a Series C round already underway. HeShan reported that its total orders in the first half of the year reached four times that of the previous year, with monthly deliveries of tactile sensors stabilizing at tens of thousands. The significance of this funding round lies in the clear investment trends within the robotics sector. Investors like Junsheng Electronics and AUX are focusing on practical technologies that can integrate with existing production lines, moving away from speculative concepts. HeShan has established a comprehensive stack covering chips, sensors, and data simulation, addressing the growing demand for tactile perception in smart healthcare devices, especially as the aging population increases in China. Looking ahead, HeShan Technology's next milestone will be the advancement of its Series C funding efforts. The company is poised to leverage its tactile technology to enhance safety in elderly care scenarios, collaborating with industry partners. No further timeline was disclosed at the time of publication, but the strong order volume and delivery capabilities position HeShan as a leader in the tactile robotics market, addressing the industry's need for mature, scalable solutions.
Tactile Sensors Robotics Industrial Automation AI Technology
KAIST Unveils Advanced Four-Legged Robot with Autonomous Navigation Technology
KAIST's mechanical engineering team, led by Professor Park Hai-won, announced a breakthrough in robotic technology on July 16. They developed a four-legged robot capable of autonomously selecting and switching between various gaits in real-time, enabling it to navigate complex outdoor environments with speed and stability. This innovation is significant as it integrates a new control architecture called APT-RL (Action Pre-training Reinforcement Learning based on Transformers), which allows the robot to learn movement through computer simulations rather than traditional motion capture. The robot, named KAIST HOUND, demonstrated its capabilities by traversing diverse terrains, achieving peak speeds of 6 meters per second, faster than an average cyclist. Future developments to watch include the potential applications of this technology in disaster response, defense tasks, and industrial inspections. The research was published in the July issue of the journal Science Robotics, highlighting its importance in advancing the field of robotic control and physical AI.
Four-Legged Robots Robotics Technology AI Autonomous Navigation
Ant Group's Robotics Subsidiary Introduces Innovative Robot Brain Technology
Ant Group's robotics subsidiary, Robbyant, has adopted a unique approach by prioritizing the development of a robot brain over hardware design. This strategy leverages the AI infrastructure behind Alipay, which processes billions of payment transactions daily, to enhance robots' ability to perceive their environment and make autonomous decisions. The introduction of the LingBot-VA 2.0 marks a significant advancement as it is the world's first embodiment-native pre-trained VA base model, specifically tailored for robots. In real-world tests, robots equipped with this model achieved a remarkable success rate of 93.6% in dual-arm tasks, showcasing the potential of this innovative technology. As hardware becomes increasingly standardized, the focus on software intelligence and data advantages is emerging as a new competitive edge. Ant Group's initiative to create a robot brain from its extensive payment data aims to bridge the gap between the digital and physical worlds, positioning Robbyant as a leader in the robotics field.
Robotics AI Machine Learning Automation
Xspark AI Raises Nearly $15 Million to Advance Physical AI Technology Development
Xspark AI has successfully completed its first round of angel financing, securing nearly 100 million yuan (approximately $15 million). This funding round was led by Dinghui VGC, Chuxin Capital, and the SEE Fund, with participation from several financial investment institutions. The capital will primarily be allocated towards core technology research and development, product iteration, and the large-scale implementation of Physical AI. The significance of this funding lies in addressing the challenges faced by Physical AI in real-world applications. Despite advancements in AI capabilities, many models that perform well in laboratory settings struggle to adapt to dynamic real-world environments. Factors such as lighting changes in factories and the arrangement of objects in homes complicate the deployment of these technologies, highlighting the need for reliable safety mechanisms to prevent equipment failures and accidents. Looking ahead, Xspark AI's CEO, Xiong Qi, emphasizes the importance of accumulating real-world data to enhance the stability and safety of Physical AI systems. As the company aims to overcome existing barriers, the development trajectory of Physical AI is expected to mirror that of the autonomous driving industry, where practical application and data-driven iterations are crucial for achieving commercial success.
Physical AI Robotics Funding Technology Development
Starmind's Satellite Technology Achieves 880 Billion Liters in Annual Water Savings
Starmind has announced that its satellite technology can save approximately 880 billion liters of cooling water annually at full scale. This figure is equivalent to the annual household water use of around 6.5 million Americans. The technology operates by utilizing a closed-loop liquid cooling system that eliminates the need for water during its operational life, contrasting sharply with traditional ground data centers that consume vast amounts of water for cooling. The significance of this achievement lies in the growing water consumption crisis faced by data centers, particularly as AI expansion drives demand. In 2025, U.S. data centers consumed nearly one trillion liters of water, highlighting the urgent need for sustainable solutions. Starmind's approach not only addresses direct water usage but also avoids indirect water consumption associated with electricity generation, marking a substantial shift in how computing can be conducted in a resource-efficient manner. Looking ahead, Starmind's deployment strategy includes a projected buildout of 100 GW of orbital compute per year, which could displace an additional 735 billion liters of ground water demand annually. The first tranche of 10,000 satellites is already operational, offsetting approximately 8.8 billion liters of water per year. No further timeline was disclosed at the time of publication.
XSTO Mobility Launches $28,000 X12 Stair-Climbing Robot with AI and LiDAR Technology
XSTO Mobility has unveiled the X12 all-terrain mobility robot, priced at $27,999, designed to assist wheelchair users in overcoming stairs and other obstacles. Weighing approximately 115 kg and capable of carrying up to 136 kg, the X12 features a hybrid wheel-track chassis that allows it to navigate stairs autonomously, with a climbing speed of 25 steps per minute and descending speed of 30 steps per minute. The robot utilizes LiDAR and AI algorithms for real-time terrain perception, enabling it to adjust its driving mode and power output dynamically. The introduction of the X12 is significant as it addresses mobility challenges faced by individuals with disabilities, particularly in environments lacking accessibility features. With the ability to climb slopes of up to 40 degrees and traverse gaps of 300 mm, the X12 offers a solution that goes beyond traditional mobility aids. XSTO Mobility, based in Zhongshan, Guangdong, has been developing embodied mobile robots for over a decade, and the X12 represents a substantial advancement in this field, emphasizing user independence and safety. Looking ahead, XSTO Mobility has reported that orders for the X12 are already booked until April 2026, indicating strong market demand. The robot is currently available in over 70 countries, and its innovative design has garnered multiple awards. No further timeline was disclosed at the time of publication regarding additional product releases or enhancements.
Mobility Robots Assistive Technology AI Healthcare Innovation
Tesla's Optimus Robots to Support Starmind Satellite Production, Not Maintenance
Tesla's Optimus robots will not be used to repair Starmind satellites in orbit, as confirmed by recent statements from Elon Musk. Instead, these robots are intended to assist in the construction and operation of the Terafab chip manufacturing facility in Texas. The AI1 satellites, designed to disintegrate upon reentry, highlight the company's swap-and-replace strategy rather than traditional maintenance practices. This approach is significant as it reflects a broader trend in satellite management, where mass-produced satellites are replaced rather than repaired. The economics of servicing missions are prohibitive, with the cost of launching a replacement satellite being significantly lower than conducting a repair mission. This model aligns with SpaceX's operational history, where rapid replacement of satellites is more efficient than attempting to maintain them in orbit. Looking ahead, the focus will remain on the production capabilities of the Gigasat factory, which is expected to support the continuous replacement of satellites. No further timeline was disclosed at the time of publication, but the demand for rapid satellite turnover suggests a robust future for Optimus robots in terrestrial manufacturing rather than in-space servicing.
SpaceX's Starmind Plans 1 Million AI Satellites Amid Collision Risks
SpaceX has announced its ambitious Starmind project, which aims to deploy 1 million AI satellites in orbits between 500 and 2,000 km. This initiative, confirmed by Elon Musk on June 23, 2026, follows a merger with xAI, valuing the combined entity at $1.25 trillion. The satellites will function as orbital data centers, processing AI workloads powered by solar arrays and linked by optical lasers. The significance of Starmind lies in its potential to add 100 gigawatts of AI compute capacity annually, contingent on the successful operation of the Starship launch system. However, the project raises concerns regarding space debris, as the current orbital environment is already congested, with a 20% increase in collision risk reported since 2024. The European Space Agency has highlighted that the density of debris in low Earth orbit is now comparable to that of active satellites, complicating the operational landscape for new entrants like Starmind. Looking ahead, the first operational orbital AI deployments are targeted for 2028, with test launches expected in early 2027. However, the project faces scrutiny regarding its impact on space debris, as even a 1% failure rate could significantly increase the number of uncontrollable objects in orbit, exacerbating existing risks. No further timeline was disclosed at the time of publication.
Microsoft warns of seven new threats from agent-based AI systems, including tool contamination and visual attacks.
Microsoft has revised its classification of agent-based AI vulnerabilities, adding seven new categories, including supply chain breaches and target takeover. This update follows insights gained from real-world red team operations, highlighting the need for enhanced measures against human approval evasion and memory corruption. The company advocates for the implementation of defensive strategies during the design phase to better safeguard against these emerging threats.
SpaceX Proposes 1 Million AI Satellites to Address Ground Data Center Constraints
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximately 1,050 TWh in 2026, making them the fifth-largest electricity consumer globally. The demand for new data center capacity is outpacing the growth of power generation infrastructure, leading to a critical bottleneck in the grid system. The significance of this initiative lies in the structural constraints faced by ground data centers, including power delivery limitations, high water consumption, and local opposition to new projects. The Uptime Institute's 2026 outlook identifies power as the primary constraint on data center growth, with capacity clearing prices in the PJM grid skyrocketing to $329.17/MW, driven by data center expansion. Additionally, cooling requirements are becoming increasingly unsustainable, with facilities consuming vast amounts of water, further complicating their operational viability. Looking ahead, SpaceX's orbital AI compute initiative aims to circumvent these challenges by leveraging the advantages of space, such as continuous solar power and minimal local opposition. The first AI prototypes are expected to launch in early 2027, with operational deployments planned for 2028. No further timeline was disclosed at the time of publication.
SpaceX Unveils AI1 Satellite Specs for Starmind Constellation with Key Thermal Challenges
SpaceX has introduced the AI1 satellite, the inaugural component of its Starmind constellation, which stands 20 meters tall and has a wingspan of 70 meters. This orbital compute node is designed to deliver computing power equivalent to one NVIDIA GB300 server rack, utilizing a unique cooling system with deployable liquid radiators. The satellite's specifications were revealed during a presentation on June 8, 2026, ahead of SpaceX's IPO. The significance of the AI1 satellite lies in its role as a compute platform rather than a traditional satellite, focusing on running AI inference workloads. The satellite's cooling system, which is critical for its operation in the vacuum of space, is designed to reject heat through infrared radiation. However, independent engineers have raised concerns about the feasibility of the thermal and mass claims made by SpaceX, suggesting that the cooling requirements may exceed practical limits. Looking ahead, SpaceX plans to launch two AI1 prototypes in early 2027, with full-scale production expected to commence later that year at its Gigasat facility in Bastrop, Texas. The ongoing debate regarding the satellite's thermal management capabilities will be crucial to monitor as the project progresses, with no further timeline disclosed at the time of publication.
SpaceX Launches Starmind Project for 1 Million AI Satellites by 2028
SpaceX has officially named its orbital AI infrastructure project 'Starmind,' which aims to deploy a constellation of up to 1 million satellites. This initiative, confirmed by Elon Musk on June 22, 2026, will enable AI inference directly in space, utilizing solar energy rather than terrestrial power sources. The first satellite, designated AI1, was unveiled on June 8, 2026, and is designed to operate in sun-synchronous orbits. The significance of Starmind lies in its potential to overcome the limitations faced by ground-based data centers, such as land, power, and water constraints. By running AI computations in orbit, Starmind can provide a more efficient solution to the growing demand for AI computing power. The project leverages the existing Starlink infrastructure for data transmission, distinguishing its function from Starlink's internet relay capabilities. Looking ahead, SpaceX plans to begin hardware deployment with the AI1 satellite, while full-scale production and deployment of the satellite constellation are targeted for 2028. As of now, no Starmind satellites have been launched, and further engineering challenges remain to be addressed, particularly regarding the scalability of the satellite design.
SpaceX's Starmind Targets AI Labs with $6.3 Billion Compute Contracts
SpaceX's Starmind is designed to provide wholesale AI compute services to businesses, particularly AI labs and cloud customers, rather than individual consumers. The service operates similarly to AWS, where users benefit from applications running on Starmind without direct subscriptions. The compute capacity of a single AI1 satellite is comparable to one NVIDIA GB300 rack, emphasizing its enterprise-grade capabilities. The significance of Starmind lies in its positioning as a potential fourth hyperscaler, joining the ranks of AWS, Microsoft Azure, and Google Cloud. The Reflection AI contract, valued at $150 million per month, exemplifies the enterprise-focused model, with total payments potentially reaching $6.3 billion through 2029. This contract highlights the growing demand for AI compute resources, particularly from AI-native startups and labs. Looking ahead, the focus will remain on securing additional enterprise contracts as Starmind expands its offerings. No consumer-facing products or subscriptions have been announced, and the current strategy is to cater to businesses with substantial AI workloads. No further timeline was disclosed at the time of publication.
Kraken and Capewell Achieve First USV Airdrop from A400M Aircraft
Kraken Technology Group and Capewell, in collaboration with the Royal Navy, have successfully executed the world's first airdrop of an uncrewed surface vessel (USV) from an A400M military transport aircraft. This milestone was achieved during trials where the K3 SCOUT USV was deployed from 1,300 feet into waters with Sea State 4 conditions, demonstrating a new capability for rapid insertion of maritime vessels into challenging environments. The significance of this achievement lies in its potential to enhance military operations by allowing for quick deployment of high-performance USVs in contested areas. The trials utilized Kraken's K3 SCOUT airdrop kit and Capewell's Universal Maritime Craft Aerial Delivery System (UMCADS), showcasing a new IN-Release system that ensures reliable load disconnect across various applications, thereby improving operational flexibility and response times. Looking ahead, Kraken and Capewell plan to further develop their partnership to enhance operational capabilities with their modular platforms. No further timeline was disclosed at the time of publication, but the successful completion of four live airdrops in six days indicates a strong foundation for future advancements in USV deployment strategies.
usv airdrop kraken technology group capewell royal navy project beehive
SEKIKAIJI to Introduce SMD Trencher and Advanced Cable-Tracker Technology to Japanese Offshore Wind Market
SEKIKAIJI Industry, a submarine cable installation specialist based in Japan, has enhanced its operational capabilities by acquiring advanced trenching equipment from the subsea technology and services provider, SMD. This strategic investment aims to improve the efficiency and effectiveness of underwater cable installations, addressing the growing demand for reliable subsea infrastructure. The acquisition reflects SEKIKAIJI's commitment to maintaining its competitive edge in the industry and meeting the evolving needs of its clients. The new equipment is expected to streamline the installation process, allowing for quicker project turnaround times and increased operational capacity.
sekikaiji smd trencher advanced cable-tracker technology offshore wind market
Voyis Launches VSLAM 1.3 for Improved 3D Visualization in Subsea Inspections
Voyis, a prominent player in underwater optical systems, has partnered with EIVA to unveil the latest version of Voyis VSLAM powered by EIVA NaviSuite, now at version 1.3. This significant update enhances real-time subsea mapping capabilities, offering users an innovative 3D visualization experience through advanced voxel-based rendering and stereo vision technologies. The release aims to improve the efficiency and accuracy of underwater exploration and mapping, catering to industries reliant on precise subsea data. This development reflects the ongoing commitment of both companies to push the boundaries of underwater technology and provide cutting-edge solutions for their clients.
voyis vslam 1.3 augmented 3d visualization enhanced subsea inspection
Beijing Launches 2,000 Square Meter Hub for Humanoid Robot Training at Ice Ribbon
On July 16, Beijing officially opened the Humanoid Robot Training Base at the Ice Ribbon, a 2,000 square meter innovation workshop. This facility will serve as a core venue for the upcoming second World Humanoid Robot Games in August. It was co-established by several organizations, including the Chaoyang Park Management Committee and Beijing Olympic Group, featuring research labs and testing areas. The establishment of this workshop is significant as it aligns with Chaoyang District's three-year action plan for the robotics industry, which has seen over 100 humanoid robot companies emerge in the area. The workshop aims to facilitate technology transfer and support the development of public service platforms for financing and research collaboration, enhancing the local robotics ecosystem. Looking ahead, the Olympic Village Street will actively participate in the workshop's development, providing real-world urban governance scenarios for companies. With the introduction of new application scenarios in various sectors, including environmental monitoring and elder care, the Ice Ribbon is evolving from an Olympic landmark into a major incubator for embodied intelligence in Beijing. No further timeline was disclosed at the time of publication.
Humanoid Robots Robot Training Innovation Workshop AI Technology
Shanghai Advances BCI Development: The Race for Commercialization Has Started
Shanghai is emerging as a key player in the global brain-computer interface (BCI) competition. The Shanghai Municipal Commission of Economy and Information Technology recently released the 'Three-Year Action Plan for the Industrialization of Brain-Computer Interfaces (2026-2028)', which aims to establish a leading national industrial chain ecosystem in the non-invasive BCI sector by 2028. The plan includes nurturing at least 50 related enterprises and achieving large-scale applications of core products in medical rehabilitation and cognitive training. This initiative is not just a theoretical blueprint. A team led by Academician Zhou Liangfu from Huashan Hospital's Neurosurgery Department, in collaboration with the Institute of Microsystem Research at the Chinese Academy of Sciences, has developed an implanted BCI product that has completed its first clinical trial with volunteers for motor function rehabilitation in paraplegic patients. Shanghai is adopting a parallel strategy with multiple technological routes, supporting invasive, semi-invasive, and non-invasive teams with dedicated funding, with non-invasive approaches progressing more rapidly. The Pudong New Area has designated a 'Brain Science Industrial Base' where the first batch of companies can benefit from various supports, including R&D expense deductions and expedited clinical trial processes. Shanghai's goal is clear: to become the city with the lowest operational costs and minimal policy friction for BCI enterprises. As the global BCI landscape evolves, Shanghai's focus on industrialization aims to establish a commercial loop in hospitals while ensuring safety and regulatory compliance, leveraging China's vast market potential in stroke rehabilitation, youth attention training, and early Alzheimer's screening.
Brain-Computer Interfaces Healthcare Technology Neurorehabilitation Cognitive Training
RevOps for Robotics OEMs Integrates AI Agents as New GTM Operating System
RevOps for robotics OEMs is evolving to unify sales, marketing, and customer success teams under a strategic framework. This integration aims to enhance customer attraction and retention, increase average order value (AOV), and maximize customer lifetime value (CLV), all while optimizing costs. Efficiency is paramount, making tech stack management a critical function of RevOps. The introduction of Go-to-Market (GTM) AI agents is transforming the tech stack, enabling improved predictive forecasting, market data analysis, and buyer intent tracking. These AI agents streamline lead routing, scheduling, and personalized outreach, allowing RevOps teams to focus on innovative strategies to drive revenue growth. The use of GTM AI APIs facilitates the development of core tech stack layers, enhancing the ability to analyze prospect interactions and identify effective sales tactics. As AI agents are integrated into intent layers, they monitor high buying intent signals and enrich prospect profiles by gathering data from various sources. This data is visualized as contact graphs, enabling targeted outreach. A practical example in the robotics OEM sector illustrates how these AI agents enhance operational efficiency and strategic decision-making, ultimately contributing to revenue preservation and growth.
AI agents Technology agentic ai ai agents artificial intelligence automation
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry ai automation Autonomous robots fort robotics
Rollon Launches Magnetic Telescopic Rails to Enhance Railway Maintenance Efficiency
Rollon, a leader in linear motion systems, has introduced the HVC-MG and H1C-MG integrated magnetic telescopic rails. These rails, designed for high-load applications, incorporate magnets into the rail structure to improve control and reduce effort during maintenance tasks. The new technology was unveiled this week and aims to enhance the efficiency and safety of railway maintenance operations by allowing engineers to easily pull out heavy battery compartments weighing hundreds of kilograms. The significance of this innovation lies in its ability to provide a seamless operation under heavy loads, addressing the challenges faced by maintenance personnel in the railway sector. The integrated magnets facilitate a sequential opening of the rail components, which minimizes simultaneous stress and enhances load distribution. This results in smoother operation, reduced manual effort, and extended rail lifespan, making it particularly suitable for the demanding environments of high-speed rail and subway systems. Looking ahead, Rollon plans to expand its magnetic control sequential motion technology across more product lines. The HVC and H1C series rails offer full extension and super extension options, maximizing accessibility while minimizing space usage. No further timeline was disclosed at the time of publication for additional product releases or enhancements.
Railway Maintenance Linear Motion Systems Heavy Equipment Automation Technology
AI-Driven Ultrasound Technology Enables Non-Invasive Brain Access: BCI-Sonics Secures $14 Million in Seed Funding
BCI-Sonics, a startup focused on artificial intelligence and ultrasound brain-machine interfaces, has successfully secured around $14 million in seed funding to enhance its groundbreaking technology. The funding will support the development of a non-invasive technique that utilizes low-intensity focused ultrasound to access deep brain regions, potentially revolutionizing clinical applications in neurology. With a robust engineering team dedicated to precision and efficiency, BCI-Sonics is set to make significant strides in the field of brain stimulation therapies.
Brain-Machine Interfaces Ultrasound Technology Neuroscience Medical Devices AI
Qiang Brain Technology's Revo 3: A New Generation of Dexterous Hands Understanding Touch
Qiang Brain Technology has unveiled Revo 3, a groundbreaking open-source dexterous hand that boasts more than 20 degrees of freedom and integrated tactile sensing. This innovative device, launched recently, is designed to assist amputees in regaining hand functionality while also improving robotic capabilities through sophisticated neuro-signal interpretation. The development of Revo 3 represents a significant advancement in prosthetic technology, aiming to enhance the quality of life for users by providing them with a more natural and responsive hand experience.
Dexterous Hands Robotics Neurotechnology Tactile Sensing
EVENT: Maritime Reconnaissance and Surveillance Technology 2026 - London, UK - 27-28th January, 2026
SAE Media Group will host the 11th annual Maritime Reconnaissance and Surveillance Technology conference on January 27-28, 2026. This event aims to bring together industry leaders, experts, and stakeholders to discuss advancements and innovations in maritime surveillance and reconnaissance technologies. The conference will provide a platform for networking, knowledge sharing, and exploring the latest trends shaping the maritime security landscape. Participants will have the opportunity to engage in discussions and presentations that address the evolving challenges and opportunities in maritime operations.
events maritime reconnaissance and surveillance technology 2026
Ashtead Technology Agrees Partnership with Hydrollica to Provide More Sustainable Subsea Technology
Ashtead Technology, a prominent provider of subsea technology solutions, has announced a partnership with Hydrollica, a manufacturer specializing in environmentally friendly remotely operated vehicle (ROV) and diver tooling. This collaboration aims to enhance the development and deployment of innovative tools that prioritize sustainability in underwater operations. The partnership reflects a growing trend in the industry to integrate eco-friendly practices into technology solutions, addressing increasing environmental concerns. By combining their expertise, both companies intend to deliver advanced, efficient, and sustainable solutions to meet the demands of the subsea sector. This strategic alliance is expected to foster advancements in technology while contributing to a more sustainable future for underwater exploration and operations.
ashtead technology partnership hydrollica sustainable subsea technology
Klein Marine Systems Selects Exail Navigation Technology to Equip their 5900 Sonar
Klein Marine Systems, a prominent player in sonar technology, has announced the integration of the Exail Octans Nano OEM Attitude and Heading Reference System (AHRS) as the standard navigation solution for its 5900 Side Scan Sonar (SSS). This strategic collaboration, revealed recently, is designed to improve the precision and reliability of the sonar system, which is essential for high-resolution seabed mapping. The enhanced capabilities will support various applications across defense, security, and commercial sectors, reflecting the growing demand for advanced maritime technology.
klein marine systems exail navigation technology 5900 sonar
Exail Integrates Elwave’s Electromagnetic Sensing Technology Into R7 ROVs
Exail, a prominent player in maritime robotics, has partnered with Elwave to enhance its R7 Remotely Operated Vehicles (ROVs) with advanced electromagnetic sensing technology. This collaboration involves the integration of Elwave’s Tetrapulse sensors, which utilize the cutting-edge CEDAR (Controlled Electric Detection And Ranging) technology. The deployment of these sensors will occur across multiple R7 ROVs, although the identity of the client benefiting from this enhancement remains undisclosed. This strategic move aims to bolster the capabilities of Exail’s ROVs, ensuring they remain at the forefront of maritime exploration and operations.
exail elwave electromagnetic sensing technology r7 rov
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift Visit http://go.abb/robotics for further information -The new Flexley Stack F712 extends ABB Robotics’ AI-powered Visual SLAM technology to autonomous forklifts, enabling pallet transport and high-density storage. -Customers can now deploy mixed fleets of Visual SLAM-powered tugs, movers and forklifts on a common navigation, fleet management and software platform. -Powered by ABB Robotics' AMR Studio, the portfolio enables up to 20% faster commissioning while ensuring seamless interoperability and safe, reliable operation. 07/07/26, 07:10 AM | Industrial Robotics, Mobile Robots | ABB Inc. ABB Robotics is expanding its Autonomous Mobile Robotics (AMR) portfolio with the launch of the Flexley® Stack F712, creating a complete interoperable ecosystem across all major Visual SLAM AMR types. Combining autonomous forklifts, tugs and movers on one platform, ABB Robotics enables customers to automate a broader range of material-handling and intralogistics processes. Offering market-leading accuracy, the F712 is designed for demanding material handling, end-of-line storage and warehouse operations across industries including automotive manufacturing, helping increase efficiency, flexibility and scalability. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data "Across intralogistics operations, businesses are being asked to process greater volumes in less time, while working with increasingly limited resources," said Marc Segura, President, ABB Robotics. "They are under pressure to move goods faster and with greater flexibility, while labour availability is becoming a critical constraint. As part of our journey to more autonomous and versatile robotics (AVRTM), we have combined advanced vision, mobility and intelligence in the Flexley Stack F712 forklift AMR, completing our scalable, AI-powered AMR portfolio." F712 is versatile, capable of handling multiple load types and sizes - including open and closed pallets, containers or racks- up to 2,000 kg and reaching heights of 8.5 meters. The Flexley Stack AMR F712 joins the Flexley Tug and Flexley Mover in ABB Robotics' growing Visual SLAM AMR portfolio. Applications include intralogistics tasks such as warehouse storage and retrieval, as well as line supply, end-of-line handling, body- and press-shop and drive-in and light buffer in the automotive and industries sector. Unlike conventional AMR forklifts on the market, F712 uses Visual SLAM to map and navigate its environment, eliminating the need for pre-installed infrastructure like markers or reflectors. The AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a market-leading positional accuracy of ±10 mm. Together with AMR Studio®, this shortens commissioning times by up to 20 percent and creates a versatile and reliable system that can adapt instantly when a warehouse or production floor layout changes. Certified to the latest ISO and ANSI safety standards, Flexley Stack F712 can safely operate at class-leading speeds of up to 1.7 m/s while loaded. F712 is fully integrated with AMR Studio and is VDA5050 compatible, enabling seamless integration with ABB Robotics' Visual SLAM AMRs and existing systems within a unified project. This makes it easy to manage complex projects and integrate different types of mobile robots. The no-code, drag-and-drop software suite supports rapid setup, fleet coordination, traffic management and real-time visualization, allowing ABB Robotics' tugs, movers and forklifts to operate together in the same layout for scalable turnkey automation projects. ABB Robotics as one of the world's leading robotics companies, is the only company with a comprehensive and integrated AI-powered portfolio covering robots, cobots and Autonomous Mobile Robots (AMRs), designed and orchestrated by our value-creating software. We help companies of all sizes and sectors - from automotive to electronics and logistics - to outperform by becoming more resilient, flexible and efficient. ABB Robotics is at the forefront of developing and commercializing a new generation of Autonomous Versatile Robotics
Chinese AI company offers a new solution for physical AI in the uncertain trillion-dollar market.
In 2026, the field of physical AI is set to emerge as a transformative force, following a consensus reached by industry leaders at the CES in Las Vegas, where NVIDIA's CEO Jensen Huang heralded the arrival of "physical AI's ChatGPT moment." Over the past two years, significant advancements have been made in five key areas: brain models, imagination engines, training environments, ontology, and commercial ecosystems, laying the groundwork for real-world applications. In the first half of 2026, global investment in physical AI surged, with over $6.4 billion raised in just the first quarter, including notable funding rounds from AMI Labs and World Labs. The industry is witnessing a clear technological divergence, with three primary paths emerging: Visual Language Models (VLM), Visual Language Action (VLA), and world models. The anticipated future architecture for physical AI is expected to integrate VLA's decision-making capabilities with world models' predictive simulations. Despite the rapid growth, the competitive landscape remains uncertain, with various companies pursuing different strategies, including those focusing solely on VLA or world models, and others exploring hybrid approaches. The ultimate goal is to develop AI that can effectively navigate and understand the complexities of the physical world, moving beyond mere reactive capabilities to proactive, autonomous decision-making. As the physical AI market is projected to expand significantly, reaching an estimated $3.26 trillion by 2040, the industry faces the challenge of ensuring that technology translates into tangible business value. Companies like Om AI are pioneering innovative models that prioritize continuous perception and spatial understanding, aiming to redefine how AI interacts with its environment. The ongoing evolution of physical AI emphasizes the importance of real-world applications and the need for AI systems that can adapt and respond to dynamic physical spaces.
AI-powered visual inspection using robots
GFT Technologies has unveiled an innovative AI-driven solution designed for automotive production, which integrates visual inspection with intelligent control of robotic systems. This advancement aims to enhance quality assurance processes within the industry, leveraging artificial intelligence to improve efficiency and accuracy in manufacturing. The announcement highlights GFT's commitment to advancing technology in automotive production, showcasing how AI can transform traditional inspection methods through automation.
Allgemein Künstliche Intelligenz & maschinelles Lernen Lösungen Robot Vision & Inspection
Two Years of Rigorous Testing Across 52 Scenarios: Embodied Intelligence Redefines Visual Navigation Technology
As embodied intelligence moves from laboratory settings to practical applications, researchers are addressing a significant challenge: enabling mobile agents to navigate effectively without relying on satellite signals. A recent exploration into modular visual navigation technology reveals promising advancements that have been validated in extreme environments. This innovative approach enhances the capabilities of various robotic applications, paving the way for more robust and versatile navigation solutions in real-world scenarios. The development of this technology is crucial as it aims to overcome the limitations posed by traditional navigation systems, particularly in areas where satellite signals are unreliable or unavailable.
Visual Navigation Robotics Autonomous Drones Sensor Technology
YouTime Technology Secures Hundreds of Millions in Series B Funding, Expanding from L4 Visual Autonomous Driving to Humanoid Robots
YouTime Technology, a company focused on L4 low-speed autonomous driving, has successfully raised hundreds of millions of RMB in a Series B funding round, with Qianhai Ark leading the investment. This funding, finalized recently, aims to facilitate the company's transition to embodied intelligence and advance the development of multimodal AI agents. Additionally, the capital will enhance the visual navigation capabilities of their humanoid robots, positioning YouTime Technology for significant growth in the autonomous driving sector.
Autonomous Driving Humanoid Robots AI Technology Computer Vision
NVIDIA DLSS 5 Delivers AI-Powered Breakthrough in Visual Fidelity for Games
NVIDIA has announced the launch of DLSS 5, marking a pivotal advancement in computer graphics technology since the introduction of real-time ray tracing in 2018. This significant development was revealed today, showcasing the company's ongoing commitment to enhancing visual fidelity and performance in gaming and other graphics-intensive applications. The new technology aims to improve frame rates and image quality, leveraging advanced machine learning techniques to deliver a more immersive experience for users. With this release, NVIDIA continues to solidify its position as a leader in the graphics processing industry, responding to the growing demand for cutting-edge visual solutions in an increasingly competitive market.
How to Get Started With Visual Generative AI on NVIDIA RTX PCs
AI-powered content generation has become an integral part of daily tools such as Adobe and Canva, as numerous agencies and studios increasingly adopt this technology into their workflows. This shift, which has gained momentum over recent months, allows for the creation of photorealistic images and videos, enhancing the quality and efficiency of digital content production. The integration of AI into these platforms is driven by the need for faster turnaround times and improved creative capabilities, enabling users to produce high-quality visuals with ease. As the technology continues to evolve, it is reshaping the landscape of content creation, making advanced tools accessible to a broader range of users.
NVIDIA's CEO Jensen Huang Announces Expansion of Physical AI Collaboration in Japan
On July 16, NVIDIA CEO Jensen Huang announced an expansion of collaboration with Japanese companies in the field of 'physical AI' during an event in Tokyo. This initiative marks a strategic move to integrate NVIDIA's technology into Japan's manufacturing sector, particularly through a partnership with Toyota to develop AI models for the Woven City traffic control system. The collaboration with Toyota is central to NVIDIA's strategy, as the company will provide GPUs and development tools to Toyota's subsidiary, Woven by Toyota. This partnership aims to embed NVIDIA's technology into the city's digital twin platform, Omniverse, enhancing factory production and driving manufacturing robots with the Isaac platform. Additionally, Huang revealed plans to deepen cooperation with major Japanese industrial automation firms, including Fujitsu, Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries, as part of the Cosmos Coalition. This initiative aims to strengthen Japan's position in the global AI robotics market, with a government goal of achieving a 30% market share by 2040. No further timeline was disclosed at the time of publication.
Physical AI Robotics Industrial Automation AI Technology
SoftBank Shares Drop Over 9% Amid Asia's AI-Linked Stock Decline
SoftBank Group's shares fell by 9.2% on Friday as a sell-off in U.S. semiconductor stocks impacted Asian markets. This decline reflects growing concerns about AI spending and its sustainability, particularly following a weak session for U.S. technology stocks, with the Nasdaq Composite down 1.47%. The downturn in Asian tech stocks, including significant losses for Tokyo Electron and Advantest, highlights the ripple effects of Wall Street's struggles. Investors are increasingly wary of the aggressive investment cycle in the semiconductor sector, especially after TSMC's earnings report raised doubts about justifying further expenditures. Looking ahead, the market will be closely monitoring how these trends affect AI-related investments and whether the recent sell-off indicates a broader shift in investor sentiment. No further timeline was disclosed at the time of publication.
ByteDance Explores Physical AI, Indicating a Shift Beyond Traditional Models
ByteDance has clarified its position regarding autonomous driving, stating it will not pursue smart driving. However, this clarification signals a significant shift as the company explores Physical AI. Unlike traditional AI, which learns from vast text data, Physical AI understands physical laws and causality, enabling it to predict physical states rather than merely generating text. The emergence of Physical AI is expected to peak around 2026 due to three key turning points: the spillover effects of large model technologies, breakthroughs in simulation technology that overcome data limitations, and a significant decrease in hardware costs. These advancements are paving the way for applications in autonomous driving, which has already seen large-scale commercialization in various sectors, outpacing humanoid robots still in demonstration phases. Industrial Physical AI is poised to revolutionize productivity through applications like predictive maintenance and quality inspection. While specialized robots are being deployed in logistics and inspection, the widespread implementation of general-purpose humanoid robots may take another 5 to 10 years. The competition in Physical AI has begun, marking a transformative shift as AI evolves from merely processing information to reshaping the world.
Physical AI Autonomous Driving Industrial Automation Simulation Technology
AI Robots Achieve 3,500 Garment Sorts Per Hour in South Korean Warehouse
In a warehouse located in Icheon, South Korea, a fleet of AI-guided robots is sorting garments at a remarkable rate of 3,500 items per hour, approximately four times the output of human workers. Since their deployment, the women's clothing company has reported 'zero losses'—no picking errors and no stockouts due to logistics mistakes. Despite this advancement, the sewing automation challenge remains unsolved, often referred to as the 'last mile' of textile automation. The system, developed by Baba Fashion in collaboration with South Korean automation firm Cotek Electronics, utilizes autonomous mobile robots equipped with SLAM navigation technology, eliminating the need for ground magnetic strips or embedded wires. The logistics deployment by Baba Fashion serves as a successful commercial case, while other companies, such as the leading fashion platform MUSINSA, are also investing in automated logistics solutions. The ongoing challenge of sewing automation, likened to the complexities of autonomous driving, continues to impact the future of millions of garment workers as the industry transitions into a more automated era.
AI Robotics Warehouse Automation Sewing Automation Fashion Technology
Purolator's Survey Reveals How North American Businesses Navigate Trade Uncertainty
In 2026, Purolator commissioned a survey by HelloInfo involving 348 shipping and logistics decision-makers from Canada and the United States. This survey aimed to explore how businesses in various sectors, including industrial, retail, healthcare, and technology, are responding to the challenges posed by an unpredictable trade environment. The findings are significant as they shed light on the strategies that Canadian and American companies are employing to mitigate the impacts of tariffs and trade volatility. Understanding these responses is crucial for stakeholders aiming to adapt to the evolving landscape of international trade. Looking ahead, it will be important to monitor how these businesses continue to adjust their strategies in response to ongoing trade uncertainties. No further timeline was disclosed at the time of publication.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
