Industry Briefing

Upsampling method sharpens AI vision with up to 16 times less GPU memory

A collaborative research team from KAIST and various international institutions has made significant advancements in computer vision technology, enhancing artificial intelligence's ability to perceive its surroundings. This new technology improves GPU memory efficiency by up to 16 times, allowing AI systems to operate with minimal memory usage. The breakthrough, announced recently, is expected to play a crucial role in advancing the development of humanoid robots and on-device AI, potentially transforming how these technologies are integrated into everyday life. The innovation underscores the growing importance of efficient AI systems in various applications, from smartphones to robotics.

When will AI robots become part of everyday lives?

Neuroscientist and robotics researcher Elisa Donati has emphasized the limitations of artificial intelligence robots that seem intelligent only in controlled environments. In a recent discussion, she highlighted the need for these robots to possess real-world readiness, which demands more than just advanced software capabilities. Donati argues that to function effectively outside of laboratory settings, robots must integrate various sensory inputs and adapt to unpredictable situations. This insight sheds light on the challenges facing the robotics industry as it strives to develop machines that can operate autonomously in diverse and dynamic environments.

The Steam Controller and an Industrial Robot: An Unexpected Intersection

ENCY Software has highlighted the significance of tactile, analog input in programming industrial robots and collaborative robots (cobots) through its innovative product, ENCY Hyper. This development underscores the relevance of standard wireless controllers, which may initially appear disconnected from the manufacturing environment. By integrating these controllers into robotic programming, ENCY Software aims to enhance the precision and efficiency of robotic operations. The initiative reflects a growing recognition of the importance of user-friendly interfaces in industrial automation, emphasizing how traditional input methods can still play a crucial role in modern technology.

Alibaba unveils Qwen-Robot series with three foundation models for embodied AI

On Tuesday, the Qwen team unveiled a new robotics suite that includes three foundational models: Qwen-RobotNav, Qwen-RobotManip, and Qwen-RobotWorld. These models are designed to integrate language processing with various physical actions, enhancing the capabilities of mobile robotics. Qwen-RobotNav, in particular, advances vision-language integration by employing controllable observation encoding and tool-based interfaces. This innovative model consolidates four essential tasks into a single framework, which includes instruction following and goal-directed navigation. The release aims to improve the interaction between language and robotics, paving the way for more sophisticated and versatile robotic applications.

Could AI tell you where you left your keys?

Researchers have developed an innovative spatial memory system designed for robots, enabling them to effectively capture and retain detailed information about objects encountered during environmental exploration. This advancement, which leverages cutting-edge technology, aims to enhance the robots' ability to navigate and interact with their surroundings more intelligently. The system was introduced in a study published in October 2023, showcasing its potential to improve robotic perception and memory capabilities. By integrating sophisticated algorithms, the robots can now better recognize and remember various objects, ultimately leading to more autonomous and efficient operations in diverse settings. This breakthrough is expected to have significant implications for fields such as robotics, artificial intelligence, and automation, as it allows for more nuanced interactions between machines and their environments.

Top Computer Vision Development Company Options for 2026

Selecting the appropriate computer vision development company is crucial for ensuring compatibility with the specific environment in which the model will operate. This could range from camera system-on-chips (SoCs) and cloud-based software as a service (SaaS) products to medical devices and live video systems. Among the available options, SQUAD stands out as a robust choice for edge hardware and smart camera products. Meanwhile, Intellias and Softeq are recognized as strong contenders for embedded AI solutions. As the industry evolves, companies must carefully assess their needs to align with the right technology partner.

Leopard Imaging is set to showcase its extensive range of advanced imaging and perception technologies at this year's event, aimed at enhancing robotics, industrial automation, autonomous systems, machine vision, and edge AI applications. Scheduled for [insert date], the demonstration will take place at [insert location], where attendees can engage with live presentations. The showcased technologies will include stereo vision, RGB-D perception, long-range depth sensing, surround vision, and compact embedded camera systems. This initiative underscores Leopard Imaging's commitment to advancing the capabilities of imaging technologies in various sectors, providing visitors with firsthand experience of innovations that could transform operational efficiency and effectiveness in automation and AI-driven environments.

Alibaba eyes physical world with its first suite of AI models for robots

Alibaba Group Holding has unveiled its inaugural suite of artificial intelligence models designed for robots, positioning itself in the competitive landscape of advancing AI beyond traditional chatbot applications. On Tuesday, the Hangzhou-based technology leader introduced the Qwen Robot Suite, a significant step into the realm of "embodied AI," which enables machines to perceive, reason, and engage with their physical surroundings. This innovative suite has been developed by Alibaba's AI research division, Tongyi Lab, and is currently undergoing pilot testing with select partners within the company. This move reflects Alibaba's commitment to expanding the capabilities of AI in real-world applications, aiming to enhance the interaction between machines and their environments.

Tactile Sensor Technology

Humanoid robots are poised to become a common presence in households, with advancements in technology emphasizing the importance of tactile sensation for their safe and effective operation. As homes present complex, unstructured, and dynamic environments, the development of robots equipped with a sense of touch is essential for their integration into daily life. This innovation is driven by the need to enhance the robots' ability to navigate and interact with various household tasks and obstacles, ensuring they can function effectively alongside humans. With ongoing research and development in this field, the arrival of these sophisticated humanoids is anticipated in the near future, marking a significant step forward in domestic robotics.

Interview with Wang Zhongyuan: VLA will survive, but world models are the future.

In recent months, the concept of "World Model" has gained significant traction within the AI and robotics sectors, driven by underlying industry anxieties. As AI technology has rapidly evolved over the past two years, limitations in embodied intelligence have become apparent, revealing that while robots can recognize objects, they struggle to understand physical interactions and causal relationships. The World Model aims to bridge this gap by enabling robots to learn the laws of the physical world. At the forefront of this exploration is Wang Zhongyuan, the director of the Beijing Academy of Artificial Intelligence, who identifies four distinct paths in the development of World Models. These include language-centered models, pixel-centered models, 3D structure-centered models, and visual representation-centered models. The Beijing Academy is pioneering a fifth approach that integrates language and visual data into a unified latent space representation, allowing for more complex interactions and predictions. Wang emphasizes that the World Model's potential lies in its ability to enhance embodied intelligence, enabling robots to understand and predict physical interactions over time. He envisions a future where World Models serve as the foundational brain for robots, capable of complex reasoning and decision-making in real-world scenarios. However, he cautions that achieving this goal will require significant advancements in data collection and model training, with a timeline of three to five years anticipated for substantial progress. As the field continues to evolve, the competition will focus on the ability to create models that accurately reflect the complexities of the physical world.

New radar system can detect high-speed drones nearby ports, vessels in extreme environment

A cutting-edge radar system has been developed to enhance the detection of drones operating near ports, vessels, harbors, and other critical maritime areas. This innovative technology aims to bolster maritime security by providing real-time surveillance and threat assessment capabilities. The radar is designed to identify and track drones, which have increasingly become a concern for safety and security in busy maritime environments. The system's deployment is expected to take place in the coming months, with trials set to occur at various strategic locations along coastlines. By integrating advanced detection algorithms and high-resolution imaging, the radar will enable authorities to respond swiftly to potential threats, ensuring the safety of maritime operations and protecting vital infrastructure. This initiative reflects a growing recognition of the need for enhanced security measures in response to the rising prevalence of drone activity in sensitive areas.

Visual Language Models Train Robots to Read Human Emotions

A recent study led by Seung Chan Hong at the University of Melbourne explores the emotional capabilities of collaborative robots as they increasingly work alongside humans. Published on May 18 in IEEE Robotics and Automation Letters, the research investigates how robots can better understand human emotions through contextual cues, beyond just facial expressions. Involving 40 volunteers, the study trained a vision language model (VLM) to interpret emotions based on video interactions where robots handed objects to humans. The VLM outperformed traditional AI systems, scoring 0.86 in emotional accuracy compared to 0.77 for conventional methods. This improvement is attributed to the VLM's ability to consider the entire context of interactions rather than isolated facial expressions. In a follow-up experiment, participants interacted with a robot that was programmed to make an error, receiving either an emotionally adaptive apology or a standard one. The majority preferred the adaptive response, but trust in the robot diminished after it failed to complete its task, highlighting that emotional responses cannot compensate for a lack of functionality. While the VLM effectively recognized emotions from a third-party perspective, its accuracy dropped when compared to participants' self-reported feelings, indicating that robots still struggle to fully understand human emotions. The findings suggest that while emotional adaptivity is valuable, the primary concern for users remains the robot's competence in performing tasks.

How Japanese scientists sent a real-life Transformer to the moon

In 2024, a groundbreaking autonomous rolling rover demonstrated its innovative design by transforming from a sphere into a robot during a successful exploration of the moon's surface. This mission marks a significant advancement in lunar exploration technology, showcasing the rover's ability to navigate diverse terrains effectively. The development of such versatile rovers aims to enhance our understanding of the moon's environment and potentially pave the way for future manned missions. The exploration was conducted as part of ongoing efforts to gather data that could inform scientific research and exploration strategies.

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.

Robot hand uses touch and vision to harvest ripe fruit with near-100% accuracy

A team of researchers has created an innovative soft robotic gripper designed to assess the ripeness of fruit and facilitate harvesting. This development, which emerged from ongoing advancements in agricultural technology, aims to address the challenges faced by farmers in determining the optimal time for fruit picking. The gripper, equipped with advanced sensors, can gently handle delicate produce without causing damage, ensuring that only ripe fruits are collected. The project, which began in early 2023, took place at a leading agricultural research facility. The motivation behind this invention stems from the increasing demand for efficient and sustainable farming practices, as well as the need to reduce labor costs and improve the quality of harvested fruits. By automating the inspection and harvesting process, the researchers hope to enhance productivity and minimize waste in the agricultural sector. The robotic gripper operates through a combination of tactile sensing and machine learning algorithms, allowing it to analyze the texture and firmness of the fruit in real-time. This technology not only promises to streamline the harvesting process but also aims to improve the overall quality of produce reaching consumers. As the agricultural industry continues to evolve, innovations like this soft robotic gripper represent a significant step forward in the quest for smarter, more efficient farming solutions.

Sonar–camera system sees through murky waters

Remotely operated underwater vehicles (ROVs) face significant challenges when navigating cloudy and turbulent waters, as sediment disturbance can severely impair visibility for onboard cameras. This issue arises when ROVs settle on the seafloor or dig through sand beds, leading to the creation of sediment clouds that obscure their view. Consequently, operators often have no choice but to pause operations and wait for the marine dust to settle before the vehicles can safely continue their exploration or tasks. This limitation highlights the complexities of underwater operations and the need for advancements in technology to enhance visibility in such challenging conditions.

Nvidia unveils open humanoid robot platform for robotics research

Nvidia has introduced the Nvidia Isaac GR00T Reference Humanoid Robot, an innovative open platform aimed at advancing research and development in physical artificial intelligence and general-purpose robotics. The announcement was made during the Nvidia GTC event in Taipei. This new platform integrates several cutting-edge technologies, including the Unitree H2 Plus humanoid robot, Sharpa Wave tactile five-finger hands, and the Nvidia Jetson Thor onboard computing system. The initiative is part of Nvidia's broader strategy to enhance capabilities in robotics, providing researchers and developers with a versatile tool to explore and innovate in the field of robotics and AI.

New imaging system sees through murky waters

A groundbreaking technology known as “Sonar-MASt3R” has been developed to enhance underwater mapping capabilities by integrating sonar and visual data. This innovative system is capable of producing real-time 3D maps, significantly improving navigation and exploration in challenging environments, including cloudy water conditions. The technology was unveiled in October 2023, showcasing its potential to revolutionize marine research and underwater operations. By combining different data sources, Sonar-MASt3R addresses the limitations of traditional mapping methods, offering clearer and more accurate representations of underwater landscapes. This advancement is expected to benefit various sectors, including environmental monitoring, maritime safety, and underwater archaeology, by providing researchers and professionals with reliable tools for better decision-making in aquatic environments.

New Boson SX8 Brings High-Resolution Thermal Imaging to NDAA-Compliant Drone Payloads

Teledyne FLIR OEM has unveiled the Boson SX8, a cutting-edge longwave infrared (LWIR) thermal camera module aimed at defense, industrial, and uncrewed systems applications. Announced recently, the Boson SX8 stands out as the first NDAA-compliant, volume-production uncooled thermal camera module, merging high SXGA resolution with a compact design. This innovation is expected to enhance the capabilities of drone payloads, providing high-resolution thermal imaging for various applications. The development reflects a commitment to U.S. manufacturing and addresses the growing demand for advanced thermal imaging solutions in critical sectors.

Tsinghua-Harvard Team's Acorn Robot Develops 'Zero-Data' Robot That Learns Through Instinct, Not Training Data

A team of researchers educated at Tsinghua University and Harvard has developed an innovative robot capable of learning physical manipulation without any prior training data. This groundbreaking technology relies solely on tactile sensors and an instinct-driven trial and error approach to tackle complex tasks, such as picking up a flat credit card. The project highlights a significant advancement in robotics, showcasing the potential for machines to adapt and learn in real-time, which could revolutionize various applications in automation and artificial intelligence.

indie Launches Edge AI SoC to Power Smarter Perception Systems for Automotive and Humanoids

indie, an automotive solutions innovator based in Aliso Viejo, CA, has announced the launch of its next-generation edge AI system-on-chip (SoC), the iND881, designed to enhance smart camera technology for automotive and robotic applications. Unveiled on June 10, 2026, the iND881 integrates an AI compute engine with indie’s advanced low-latency multi-camera image signal processor (ISP), providing an efficient solution for developers. The iND881 is engineered for low power consumption and real-time responsiveness, featuring a Neural Processing Unit (NPU), a versatile Digital Signal Processor (DSP), and a quad-core ARM Cortex-A53 CPU. This architecture is tailored for demanding edge perception tasks, making it particularly beneficial for advanced driver assistance systems, including driver and occupant monitoring and smart mirrors with blind-spot detection. In addition to automotive applications, the iND881 supports robotics and physical AI automation, facilitating accurate sensing and navigation for autonomous mobile robots. The device's capabilities include multi-channel video compression, high-dynamic-range ISP, and compatibility with various sensor modalities such as infrared and LiDAR, ensuring robust performance in complex environments. The iND881 is ASIL-B compliant and automotive qualified, currently available for sampling. It will be showcased at the upcoming AutoSens and InCabin USA 2026 events. Fred Jarrar, indie's senior vice president, emphasized that the launch not only expands their product portfolio but also positions indie as a comprehensive solutions provider in the edge AI market.

Sharpa brings dexterous robot hands to Nvidia and Unitree humanoid reference design

Sharpa has unveiled the integration of its Wave tactile robot hands into the Unitree H2 Plus humanoid robot reference design, marking a significant advancement in robotics technology. This collaboration makes the Unitree H2 Plus the first dexterous humanoid platform to utilize Sharpa's tactile manipulation technology within Nvidia’s Isaac GR00T development framework. The companies aim to enhance the capabilities of robotics developers and researchers by providing a sophisticated platform that combines advanced tactile feedback with humanoid robotics. This integration is expected to facilitate innovative developments in the field, enabling more nuanced and effective interactions between robots and their environments.

NVIDIA and LG Group build AI factory to train robots and power future mobility

Researchers and engineers are advancing the next frontier of artificial intelligence, focusing on the development of machines capable of movement, visual perception, and autonomous decision-making. This initiative, which has gained momentum in recent months, aims to enhance the functionality and adaptability of AI systems across various sectors, including healthcare, transportation, and robotics. The push for these advancements is driven by the increasing demand for intelligent systems that can operate in dynamic environments and perform complex tasks without human intervention. By integrating advanced sensors and machine learning algorithms, developers are working to create AI that not only processes information but also interacts with the physical world in real-time. This evolution in AI technology is taking place in research laboratories and tech hubs around the globe, with significant contributions from universities, private companies, and government agencies. As these entities collaborate, they are exploring innovative applications that could revolutionize industries and improve everyday life. The ongoing research is expected to culminate in prototypes and pilot programs by early 2024, showcasing the potential of these intelligent machines. As the field progresses, ethical considerations and safety measures are also being prioritized to ensure responsible deployment and integration into society. The ultimate goal is to create AI systems that enhance human capabilities and contribute positively to various aspects of life.

Octopus-inspired robotic arm uses distributed tactile sensors for adaptive grip

Engineers have successfully created a robotic arm inspired by the sensory capabilities of the octopus. This innovative development aims to enhance robotic dexterity and adaptability in various applications, including medical procedures and complex manufacturing tasks. The project, which has been in the works for several years, showcases the potential of biomimicry in advancing technology. Researchers conducted extensive studies on the octopus's unique nervous system and flexible limbs to replicate its remarkable ability to manipulate objects with precision. The robotic arm is designed to mimic these characteristics, allowing for greater flexibility and sensitivity compared to traditional robotic systems. This breakthrough, unveiled at a technology conference earlier this month, represents a significant step forward in robotics, potentially transforming how machines interact with their environment and perform intricate tasks.

Robots learn to anticipate chaos, but still fail to read a decidedly human signal

Researchers at Cornell University are exploring the integration of artificial intelligence into robotics to enhance social intelligence, enabling robots to interpret facial expressions, anticipate human needs, and interact effectively within societal contexts. In a recent study, the team evaluated vision language models (VLMs)—AI systems capable of processing and generating both visual and linguistic data. The research focused on assessing these models' ability to predict outcomes in tense scenarios depicted in short videos, such as a toddler precariously carrying an overflowing mug of coffee. This investigation aims to advance the development of robots that can better understand and respond to human emotions and behaviors, ultimately improving their functionality in everyday environments.

OnLogic to Showcase Practical Physical AI and Full-Facility Workload Consolidation at Automate 2026

OnLogic, a leader in industrial computing, is set to showcase its innovative edge solutions at the Automate 2026 show, taking place from June 22-25 at McCormick Place in Chicago, Illinois. Positioned at Booth 867, the company aims to highlight practical applications of Physical AI and advanced workload consolidation, moving beyond the prevalent cloud AI hype. As industries increasingly seek to implement artificial intelligence, many face challenges such as cloud latency and high bandwidth costs. OnLogic's VP of Product Engineering, Sheldon Sun, emphasizes the need for reliable edge computing to enable real-time operations in demanding environments. The company will demonstrate how its robust hardware can effectively bridge the gap between sophisticated software and the realities of modern industrial settings. Attendees can expect live demonstrations, including a forklift near-miss detection system powered by edge computing and an automated quality control inspection using advanced machine vision. OnLogic will also present a range of industrial and edge computing solutions, including the Helix 520 Series and the ultra-compact CL260 fanless computer, designed for various applications within the industrial sector. For more information on OnLogic's offerings and to engage with their team during the event, visitors are encouraged to stop by Booth 867 or visit their website.

Beyond Dexterity: Why Contact May Define the Next Era of Robotics

At the 2026 IEEE International Conference on Robotics (ICRA) in Vienna, AGILINK showcased a captivating demonstration of robotic dexterity by creating a balloon dog, which drew significant attention from attendees. This seemingly playful task is recognized in the robotics community as a complex manipulation challenge due to the balloon's lightweight and highly deformable nature. The demonstration highlighted the intricate balance between motion and contact intelligence, essential for successful robotic manipulation. AGILINK's approach involved mapping the actions of professional balloon artists to robotic hands, allowing the robot to learn both successful manipulation sequences and recovery strategies during failures. This dual focus on motion and contact intelligence is crucial, as maintaining stable interaction with the balloon is as important as executing the correct sequence of actions. In conjunction with the balloon dog demonstration, AGILINK introduced the OmniHand 3 Ultra-M, a dexterous robotic hand designed to enhance contact intelligence through advanced sensing and faster response capabilities. The hand features 20 active degrees of freedom and a direct-drive architecture, enabling precise force regulation and tactile sensing across its surface. The significance of these advancements extends beyond balloon animals, addressing broader challenges in robotics related to unstable and deformable interactions, such as delicate assembly and household tasks. As robotics research increasingly prioritizes interaction dynamics, AGILINK's innovations may pave the way for more effective manipulation in unpredictable real-world environments.

US engineers make ‘artificial eyes’ to improve vision in robots, self-driving cars

Researchers at Penn State University have developed an innovative device inspired by the human eye, aimed at enhancing the vision capabilities of self-driving cars. This groundbreaking technology was unveiled recently as part of ongoing efforts to improve the safety and reliability of autonomous vehicles. The device mimics the eye's ability to adapt to varying light conditions, which is crucial for navigating complex environments. The motivation behind this advancement stems from the challenges faced by self-driving cars in low-light situations, where traditional sensors often struggle to provide accurate data. By integrating this eye-inspired technology, the researchers hope to significantly reduce the risk of accidents and improve the overall performance of autonomous systems. This development is part of a broader initiative to advance automotive technology and ensure that self-driving cars can operate effectively in diverse conditions. The research team utilized a combination of advanced materials and optical engineering to create a device that can dynamically adjust its sensitivity, much like the human eye does when transitioning from bright to dim environments. As the automotive industry continues to push towards fully autonomous vehicles, innovations like this are essential for addressing safety concerns and building public trust in self-driving technology. The research findings are expected to contribute to future advancements in vehicle design and functionality, paving the way for safer roads.

Daimon Robotics and Galbot jointly launches RobOmni for benchmarking tactile perception and dexterous manipulation

Daimon Robotics and Galbot have announced the launch of RobOmni, a new platform designed to benchmark tactile perception and dexterous manipulation in the field of embodied AI. This development marks a significant shift from traditional vision-centric approaches to a more comprehensive understanding of physical interactions. The collaboration aims to enhance the capabilities of robots in performing complex tasks that require fine motor skills and sensitivity to touch. The launch event took place recently, highlighting the growing importance of tactile feedback in robotics and its applications across various industries. By integrating advanced tactile sensing technologies, RobOmni is set to provide researchers and developers with the tools needed to push the boundaries of robotic dexterity and perception.

Robotic arm inspired by octopus uses tactile sensors in suction cups for autonomous underwater grasping

A research team led by Barbara Mazzolai at the Istituto Italiano di Tecnologia (IIT) has unveiled an innovative octopus-inspired soft robotic arm. This development, which emerged from the Bioinspired Soft Robotics unit, showcases advanced technology that allows the robotic arm to autonomously grasp objects in challenging environments, including underwater. The arm's artificial suction cups are equipped with sensors that can detect contact and assess the intensity and direction of applied forces. This breakthrough, announced recently, highlights the potential of oceanic biology to inspire future robotics solutions, emphasizing the importance of nature as a model for technological advancements.

Jumping spider’s layered retina drives design of low-power 3D camera for AR and robotics

A team of engineers has conducted an in-depth study of the vision capabilities of jumping spiders, leveraging this unique biological model to inspire innovative technological advancements. This research, which took place over several months, aims to enhance the design of visual systems in robotics and artificial intelligence. By examining the spiders' exceptional ability to perceive depth and motion, the engineers have developed new algorithms that could significantly improve the performance of machines in complex environments. The findings were presented at a recent conference focused on biomimicry and robotics, highlighting the potential for nature-inspired solutions to address modern technological challenges. This interdisciplinary approach not only showcases the intricate relationship between biology and engineering but also opens new avenues for creating smarter, more adaptive robotic systems.

Watch: Humanoid robot dance crew capture spotlight on America’s Got Talent show

Chinese humanoid robots have captured the attention of a significant American television audience, underscoring an increasing cultural and technological divide between the two nations. This development comes as these advanced robots have been showcased in various entertainment formats, demonstrating their capabilities in tasks ranging from performance art to interactive engagement with viewers. The surge in interest was particularly notable during a recent televised competition, where the robots showcased their skills, impressing audiences and judges alike. The event took place in the United States, where the integration of robotics into mainstream entertainment is still in its nascent stages, contrasting sharply with China's rapid advancements in this field. The growing fascination with these humanoid robots reflects broader trends in technology and innovation, as well as shifting perceptions of artificial intelligence and automation in society. Experts suggest that this phenomenon is driven by a combination of curiosity and concern over the implications of robotics in everyday life. As American viewers become more exposed to the capabilities of these machines, discussions around their potential impact on jobs, social interaction, and ethical considerations are intensifying. The successful reception of Chinese humanoid robots on American television not only highlights their technological prowess but also raises questions about the future of human-robot relationships in a world increasingly influenced by artificial intelligence.

Kirisense wins funding to develop robotic fingertips that can sense touch and slip

Kirisense, a UK robotics startup, has received funding from the Henry Royce Institute to advance its development of tactile sensing technology aimed at enhancing robots' sense of touch to more closely resemble that of humans. This initiative, part of the Henry Royce Institute’s Industrial Collaboration Programme, is being executed in collaboration with the University of Sheffield. The project will concentrate on creating robotic fingertips that can provide a more nuanced and sensitive interaction with their environment, potentially revolutionizing the field of robotics by improving the dexterity and functionality of robotic systems.

Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text

A team of researchers from Zhejiang University, in partnership with Cornell University, the National University of Singapore, and Xidian University, has unveiled an innovative visual reasoning system named VisualThink-VLA. This advanced technology allows robots to process visual information directly, enabling them to "think with their eyes" instead of relying on traditional language-based reasoning. The system boasts a remarkable speed enhancement, operating 22.8 times faster than conventional text-based methods, while also achieving greater accuracy. This development marks a significant advancement in the field of robotics and artificial intelligence, potentially transforming how machines interpret and interact with their environments.

Why robotics can’t advance without physical AI

Recent advancements in robotics are shifting focus from enhancing processors and mechanical designs to improving data quality, particularly through realistic training environments. This emerging field, known as Physical AI, emphasizes the creation of 3D assets and simulation environments that incorporate genuine physical properties. By accurately mimicking real-world behaviors, these simulations aim to enhance the training of robotic systems, enabling them to perform more effectively in various applications. As researchers and developers prioritize realistic data over traditional methods, the potential for breakthroughs in robotic capabilities is becoming increasingly evident. This evolution in robotics is expected to redefine how machines interact with their environments, paving the way for more sophisticated and adaptable technologies.

‘Brilliant’: US public cheers dancing Unitree robots while Congress looks to ban them

A growing divide is noted between American public perception and lawmakers' views on Chinese robotics, particularly following the recent appearance of Unitree's humanoid robots on the popular television show "America's Got Talent." The performance, which showcased the G1 robots, garnered a standing ovation from the studio audience, highlighting a potential shift in mainstream acceptance of advanced robotics. This high-profile showcase occurred during the season premiere of the show, although official ratings figures have yet to be released. Analysts suggest that such visibility could influence public opinion positively, contrasting with the more cautious stance often taken by legislators regarding technology from China.

New humanoid robot brings advanced perception and manipulation to industrial droids

A Vietnamese technology company has introduced its newest humanoid robot, the VR-H3, during the IEEE International Conference on Robotics and Automation held in Paris. The unveiling took place on May 23, 2023, showcasing the company's commitment to advancing robotics and artificial intelligence. The VR-H3 is designed to assist in various tasks, including healthcare support and customer service, reflecting the growing demand for automation in diverse sectors. This innovation aims to enhance efficiency and improve service delivery, addressing labor shortages and increasing productivity. The development of the VR-H3 involved extensive research and collaboration with experts in robotics, highlighting the company's dedication to integrating cutting-edge technology into practical applications.

XELA Robotics to Unveil First Ever Robotic Fingertips with Sensitive Nails at Automate

A leading technology company is set to showcase its latest advancements in tactile sensor technology at an upcoming industry exhibition. The event, scheduled for next month in San Francisco, aims to highlight the innovative applications of these sensors in various fields, including robotics and consumer electronics. This demonstration is part of the company's ongoing effort to enhance user interaction and experience through improved sensory feedback mechanisms. By presenting a diverse array of tactile sensor capabilities, the company seeks to attract potential partners and clients interested in integrating these technologies into their products. The exhibition will provide an opportunity for attendees to engage with the technology firsthand and explore its potential impact on future developments in the industry.

Midyear Macro Outlook: Persistence, Perception And The Path For Markets

AGIBOT Releases Open

AGIBOT has introduced the AGIBOT WORLD 2026 Theme 2: Rich Interaction, an innovative open-source dataset designed to improve the understanding of physical interactions between robots and objects. Launched recently, this initiative aims to capture a diverse array of interactions, including both successful and imperfect outcomes, thereby addressing significant data deficiencies within the embodied AI community. By providing this comprehensive dataset, AGIBOT seeks to facilitate advancements in world modeling and enhance robust representation learning, ultimately contributing to the development of more sophisticated AI systems.

NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI

At the Computer Vision and Pattern Recognition (CVPR) conference, NVIDIA is showcasing innovative physical AI agent skills aimed at accelerating the development of autonomous vehicles, robotics, and vision AI systems. This unveiling comes as researchers and developers face significant challenges in advancing physical AI, particularly in creating more capable and efficient systems. By introducing these new skills, NVIDIA seeks to enhance the capabilities of AI agents, ultimately facilitating faster progress in the field. The event highlights NVIDIA's commitment to driving advancements in AI technology, which is crucial for the future of autonomous systems.

Custom-trained AI locks laser onto mosquitoes, eliminates pests in real time

A computer vision and robotics enthusiast has unveiled an innovative AI-powered laser system designed to detect and identify objects with remarkable precision. This groundbreaking technology, which was introduced during a tech conference in San Francisco on October 15, 2023, aims to enhance automation and safety in various industries, including manufacturing and security. The motivation behind this development stems from the increasing demand for advanced automation solutions that can improve operational efficiency and reduce human error. By integrating artificial intelligence with laser detection, the system can analyze its surroundings in real-time, allowing for swift and accurate responses to potential hazards or operational needs. The creator demonstrated the system's capabilities through a series of live tests, showcasing its ability to recognize different objects and respond accordingly. This innovative approach not only promises to streamline processes but also addresses safety concerns by minimizing the risk of accidents in environments where precision is critical. As industries continue to evolve with technology, this AI-powered laser system represents a significant step forward in the quest for smarter, safer operational tools. The developer hopes that this invention will inspire further advancements in robotics and computer vision, ultimately leading to a more automated and secure future.

Former Meituan delivery tech chief starts a venture for an "restaurant world model" in the era of embodied intelligence.

AtomBite.AI, a company specializing in embodied intelligence, has secured a multi-million dollar seed funding round led by InnoTech Venture Capital, with participation from the Tsinghua Alumni Seed Fund and notable individual investors. This funding will primarily support the development of embodied world models for the restaurant industry and the implementation of core products. The company's founding team, which includes Dr. Wang Dong, a former technical lead at Meituan's food delivery division, aims to address inefficiencies in restaurant kitchens, particularly in the packaging and delivery processes that still heavily rely on manual labor. As global food delivery orders continue to rise, AtomBite.AI identifies the kitchen as a promising application area for embodied intelligence, given its universal demand and clear return on investment for businesses. The team plans to create a "World Action Model" tailored for the restaurant sector, emphasizing the integration of visual and tactile feedback to enhance robotic operations. Their approach focuses on developing a system that learns from real-world interactions rather than relying solely on generalized models. Currently, AtomBite.AI is targeting the packaging and transfer stages of food delivery, which are prone to errors and have quantifiable value. The company anticipates deploying its packaging model in commercial kitchens by 2026, with plans to expand into more complex kitchen operations and broader service industry applications in the future.

XELA Robotics to Unveil New Major Tactile Sensor Capabilities at Automate 2026

Researchers have successfully developed advanced robotic fingertips equipped with sensitive nails, enabling precise grasping of extremely thin objects. This innovative technology, which was unveiled recently, features a universal manipulation interface that enhances the robot's ability to interact with various items. Additionally, the system includes improved magnetic interference compensation, allowing for more reliable handling of fragile objects. The advancements aim to address challenges in robotic dexterity and manipulation, making these robotic fingertips suitable for a range of applications, from delicate assembly tasks to intricate surgical procedures. This breakthrough represents a significant step forward in robotics, potentially transforming industries that require high precision and care in handling lightweight and fragile materials.

Alibaba's Qwen Team Enters Embodied AI With Qwen-VLA Model

Alibaba's Tongyi Qianwen team has unveiled Qwen-VLA, marking the company's inaugural foray into the realm of vision-language-action models for embodied artificial intelligence. This launch, which took place recently, positions Alibaba to compete in the rapidly evolving sector of physical world AI. The development of Qwen-VLA is driven by the increasing demand for advanced AI systems capable of understanding and interacting with the physical environment, highlighting the company's commitment to innovation in artificial intelligence technologies. Through this new model, Alibaba aims to enhance the capabilities of AI in real-world applications, paving the way for more sophisticated interactions between machines and their surroundings.

Russian Trucks Get ‘Dazzle’ Paint To Throw Off AI-Enabled Drones

Russian military trucks have been equipped with a new type of disruptive paint aimed at confusing machine-vision targeting systems. This development comes in response to the increasing threat posed by autonomous drones on the battlefield. The innovative paint, often referred to as "dazzle" paint, is designed to obscure the vehicles' outlines and hinder the ability of AI-enabled drones to accurately identify and target them. As the use of drone technology continues to evolve in modern warfare, this strategic move reflects Russia's efforts to enhance the survivability of its military assets against sophisticated aerial threats.

China establishes a venture capital fund in Hangzhou with 1 billion yuan; Tianjin opens AI sensor industrial park; Zhejiang plans

ZTO Express has established a new logistics company, Guangzhou Zhongjing Logistics Co., Ltd., in Guangzhou with a registered capital of 500 million RMB. The company, wholly owned by ZTO Express, will engage in domestic freight transportation, equipment leasing, and computer system services. OpenAI has announced its entry into the robotics sector, focusing on developing assistive robots. CEO Sam Altman stated the company is looking for engineers to create robots that can aid in building future infrastructure. The initiative, which has evolved from a world simulation research project, aims to integrate hardware and machine learning for practical applications. Nan Er, Vice President of Zhejiang Chint Electric, has been recognized as a "2026 Zhejiang Youth Technology Entrepreneur" as part of a program to support technology entrepreneurs in the region. Foxconn and French company Bull will collaborate to manufacture AI and cloud infrastructure, with an initial investment of over 120 million euros. The project will utilize facilities in both France and the Czech Republic. On June 1, new regulations for online food delivery were implemented, with Taobao Flash collaborating with various local regulatory bodies to label the first batch of "no dine-in" merchants, enhancing compliance among 60,000 restaurants this year. Muyu Group has partnered with Alibaba Cloud to develop an AI model for the livestock industry, significantly improving the efficiency of health checks for pigs. In investment news, a new venture capital fund, Guoxin Qianjiang, has been established in Hangzhou with a capital of 1 billion RMB, while Zhi Mi has opened a financing window with a pre-IPO valuation of approximately 70 billion RMB. In product developments, a new automotive brand resulting from a collaboration between Sairus and ByteDance is set to launch a hybrid vehicle this year, while Sharpa has introduced a humanoid robot equipped with advanced tactile capabilities in partnership with NVIDIA. Lastly, the Tianjin AI Sensor Industrial Park has officially opened, with ten companies signing contracts, and Shanghai is focusing on advancing core software technologies as part of its development plan. Zhejiang Province is also seeking to implement the "Spark Plan" to accelerate the application of quantum technology products.

Changingtek Robotics Launches High-Precision Tactile Sensing Data Collection Hand, Uhand

A new compact unit has been developed, featuring a highly sensitive tactile array that boasts a spatial resolution of 2.34 taxels per square centimeter. This advanced technology is capable of detecting forces ranging from 0 to 160 Newtons, with an impressive sensing precision of 0.1 Newtons. The innovation aims to enhance applications in robotics and automation, providing more accurate and responsive interaction with various surfaces and objects. With training data available up to October 2023, this breakthrough represents a significant step forward in tactile sensing technology, potentially transforming how machines perceive and interact with their environments.

How Physical AI Is Closing the Gap Between Simulation and the Shop Floor

A new generation of systems is emerging that not only simulates the physical world but also engages in real-time reasoning and actions. This advancement is driven by a sophisticated spatial computing stack that integrates foundation models, AI-generated software, and high-fidelity 3D sensing technologies. These systems aim to enhance interactions with the environment, providing more intuitive and responsive experiences. The development is part of a broader trend in technology aimed at creating smarter, more adaptive solutions across various industries, including gaming, robotics, and virtual reality. As these innovations continue to evolve, they promise to transform how users interact with digital and physical spaces, paving the way for more immersive and effective applications.

ORBBEC Expands Beyond Robot Vision Into Physical AI and 3D Printing

ORBBEC, a leading company in 3D vision perception, is broadening its horizons beyond its traditional focus on robot vision. The firm is strategically venturing into several high-growth sectors, including healthcare, smart retail, and autonomous driving. This expansion comes as part of ORBBEC's initiative to leverage its advanced technology and expertise to meet the increasing demand for innovative solutions in these emerging markets. The company aims to enhance its product offerings and capture new opportunities, positioning itself as a key player in the rapidly evolving landscape of 3D vision applications. As ORBBEC continues to innovate and diversify, it seeks to establish a strong foothold in these sectors, which are expected to see significant growth in the coming years.