Toyota Motor Corporation engineers automotive manufacturing systems, industrial robots, logistics automation, and advanced robotics technologies including humanoid and mobile manipulation platforms for production and mobility applications.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
At WAIC 2026, Yimu Technology attracted significant attention with its demonstration involving two identical peanuts. The exhibit illustrated the concept that while visual cues may be indistinguishable, tactile feedback reveals critical differences in texture and resilience. This highlights the importance of physical interaction in understanding the physical world. The significance of this demonstration lies in its implications for Physical AI. Traditional robots have struggled to interpret tactile information, often failing in tasks requiring sensitivity, such as handling fragile items. Yimu Technology emphasizes that the key to advancing robotics is not merely increasing model size but ensuring robots receive accurate physical feedback from their environment. Looking ahead, the focus will be on how effectively robots can integrate this tactile feedback into their operations. Yimu Technology's approach, which utilizes optical systems to measure minute deformations, could revolutionize how robots interact with their surroundings. No further timeline was disclosed at the time of publication.
Physical AI Tactile Sensors Robotics Machine LearningPalm Garden AI has developed Coherence Guard, a relational decision layer aimed at improving the behavior of service robots in human environments. This platform-agnostic technology evaluates actions before execution, ensuring they are relationally coherent by considering factors such as timing, proximity, and emotional tone. The significance of Coherence Guard lies in its potential to enhance the interaction between humanoid robots and humans in various sectors, including hospitality, care, and education. CEO Joachim Scheuerer emphasized that the technology does not replace existing systems but adds a crucial layer for evaluating social appropriateness, which is essential as robots become more integrated into everyday life. Looking ahead, the demand for such relational decision-making capabilities is expected to grow as service robots become more prevalent in human-centric environments. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Development Tools / SDKs / Libraries Healthcare Robotics Human Robot Interaction / Haptics HumanoidsFaraday Future's AI subsidiary, FFAI, announced its accelerated expansion into commercial robotics at Automate 2026 in Chicago. The company showcased its 'one brain, multiple forms' robotics platform and revealed that June robot shipments are expected to exceed 100 units, bringing total first-half deliveries to over 220 units, surpassing its initial target ahead of schedule. This milestone is significant as it marks FFAI's transition from an education-focused robotics business to industrial automation, targeting commercial deployments across manufacturing, logistics, and research. The company presented a range of robotics products, including the All-New Futurist humanoid robot and the FF Faber mobile manipulator series, highlighting its commitment to integrating advanced AI technologies into various applications. Looking ahead, FFAI outlined a broader strategy focused on an open embodied AI ecosystem, which includes its EAI Brain software platform and an EAI Data Factory for operational data collection. No further timeline was disclosed at the time of publication.
Artificial Intelligence Events News ai All-New Futurist Automate 2026Nvidia and Hugging Face have expanded their partnership to introduce new AI models and robotics frameworks to the LeRobot platform, enhancing accessibility for developers. The integration of Nvidia Isaac GR00T 1.7, a vision-language-action foundation model, and the Isaac Teleop framework aims to streamline the development process for AI-powered robots. This collaboration is significant as it combines Nvidia's community of over three million robotics developers with Hugging Face's 16 million AI developers, fostering a broader access to physical AI technologies. The new tools will enable standardized workflows for data collection, model training, and performance evaluation, making it easier for developers to create and deploy robotic solutions. Looking ahead, the planned support for Nvidia Cosmos 3 will further empower developers by allowing the generation of synthetic data and simulation of environments. No further timeline was disclosed at the time of publication.
Artificial Intelligence Computing ai Hugging Face humanoid robots Isaac GR00T 1.7Fujitsu has initiated a partnership with Japanese robotics firms Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries to advance the development and deployment of physical AI in sectors such as manufacturing, logistics, and healthcare. This collaboration will leverage Nvidia's physical AI technologies to create a collaborative control platform that connects digital systems with robots and physical equipment. The initiative aims to accelerate the adoption of physical AI, addressing challenges like labor shortages and an aging workforce while enhancing global competitiveness. The platform will optimize production planning in manufacturing, automate material handling in logistics, and improve healthcare operations by automating the transport of medical supplies and assisting with patient interactions. Fujitsu plans to develop an open collaborative control platform that integrates AI, robotics, and data analysis technologies, ensuring interoperability and addressing cybersecurity concerns. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry News ai factory automation fanucToyota and Nvidia have broadened their partnership to develop physical AI technologies that encompass next-generation vehicles, manufacturing, robotics, and urban infrastructure. This collaboration builds on a previous agreement, focusing on advanced driver-assistance systems using Nvidia's DRIVE AGX platform and DriveOS operating system. The significance of this partnership lies in its potential to revolutionize mobility and manufacturing. Rishi Dhall, Nvidia's vice president of automotive, emphasized that physical AI will enhance the intelligence of various machines, making vehicles more autonomous and urban environments safer and more responsive. Toyota aims to implement Level 2++ functionality in its future vehicles while leveraging Nvidia AI models for efficient software engineering. Additionally, Toyota is integrating AI into its manufacturing processes through factory simulations using Nvidia's Omniverse and Isaac Sim frameworks. The partnership also extends to urban mobility technologies via Woven by Toyota, which is developing models to analyze traffic conditions. No further timeline was disclosed at the time of publication.
Computing News advanced driver assistance systems ai automotive AI digital twinsThe World AI Conference 2026 (WAIC 2026) showcased six significant trends in artificial intelligence, emphasizing a shift from model competition to system efficiency. Notably, the integration of robots into real factory environments marks a pivotal moment for industrial automation, indicating a growing reliance on intelligent systems. This transition is crucial as it reflects the industry's evolution towards more efficient and effective AI systems, moving beyond traditional model-centric approaches. The emergence of domestic chips reaching a tipping point further underscores the importance of localized technology development in enhancing AI capabilities. Looking ahead, stakeholders should monitor how these trends will influence the deployment of AI systems in various sectors. The increasing presence of robots in factories and advancements in chip technology could reshape operational strategies and drive innovation in the coming years. No further timeline was disclosed at the time of publication.
Newsmimic Robotics has unveiled a new robotic hand, the mimic hand M1, along with the mimic wearable U1 exoskeleton and a proprietary software platform. This integrated system aims to enhance general-purpose dexterous manipulation in industrial robots by addressing the challenge of collecting high-quality training data for AI models that perform human-like tasks. The significance of this launch lies in mimic Robotics' approach to design, which focuses on human hand morphology rather than traditional two-finger grippers. The mimic hand M1 features 15 actuated degrees of freedom and is capable of handling payloads over 25 kg, while the mimic wearable U1 allows human operators to demonstrate tasks in real-time, improving data collection for AI training. Looking ahead, the company’s innovative middleware and teleoperation software are expected to enhance robot control and AI inference speed. No further timeline was disclosed at the time of publication.
Components Computing News ai automation dexterous manipulationAetina, a specialist in edge AI computing, is set to enhance its offerings by adding support for the newly unveiled Nvidia Jetson T3000 and T2000 modules. These modules are designed for robotics and industrial edge AI applications, and Aetina plans to integrate them into its DeviceEdge AIE-KT and AIE-PT systems, providing scalable and efficient AI computing solutions. This expansion is significant as it allows Aetina to leverage Nvidia's advanced AI capabilities, including the ability to run generative AI models with low latency, which is crucial for applications like humanoid robots. The Nvidia Jetson T3000 module boasts up to 865 FP4 TFLOPS, while the T2000 offers up to 400 FP4 TFLOPS, catering to a range of robotics applications from visual AI agents to autonomous mobile robots. Looking ahead, Aetina is among the first partners to support these new modules, with Nvidia expecting them to be available in the first quarter of 2027. The company plans to provide further details on system specifications and developer support as the launch date approaches, making it a key player in the evolving landscape of AI-driven robotics solutions.
Computing Industry Aetina automation Autonomous robots DeviceEdge AIE-KTStrider Robotics, an Indian startup, has successfully demonstrated a quadruped robot capable of carrying a 40 kg payload across challenging terrains. This marks a significant step as the Bengaluru-based company transitions from prototype development to commercial deployment, with field pilots currently underway with a major oil and gas company and an automotive manufacturer. The importance of this development lies in Strider's focus on enhancing India's domestic robotics manufacturing capabilities, as over 80 percent of the robot's components are sourced locally. Quadruped robots are gaining traction in industries where traditional wheeled vehicles face limitations, such as energy, mining, and infrastructure inspection, due to their ability to navigate uneven surfaces and carry equipment. Looking ahead, Strider Robotics aims to solidify India's position as a key player in the development of intelligent legged robotic systems for industrial and defense applications. No further timeline was disclosed at the time of publication.
Robotics Robotics and Automation Robotics and Automation News Robotics News AI software artificial intelligenceA RobotToday engineering deep dive into humanoid robot wire harnesses: 3D dynamic fatigue, 10-100 Gbps EMI shielding, FPC cost reduction, and global standards.
This week in robotics: Agility Robotics $2.5B SPAC deal for first humanoid IPO, BMW Figure 03 logistics deployment, Morgan Stanley doubles China humanoid forecast, ON Semiconductor acquires Synaptics for $7B, Sony halts aibo in Japan. June 23–27, 2026.
Compare how Microsoft, Google, Oracle, Tesla Optimus, Figure AI and UBTECH finance their Capex. Supply chain risk, ROIC analysis and a 3-dimension investment framework included.
This week in robotics: Bezos’ Prometheus raises $12B for physical AI, NEURA Robotics closes $1.4B Series C, NVIDIA deepens partnerships with Hyundai and LG in Seoul, and Hyundai’s Boston Dynamics robot dogs debut at FIFA World Cup 2026. June 8–12, 2026.
This week in robotics: the Humanoids Summit debuts in Tokyo, China assigns every humanoid robot a digital ID, Figure signs a Catalyst Brands deployment deal, and Unitree heads to a June 1 IPO hearing. May 23–29, 2026.
This week in robotics: Figure AI's humanoids hit a 24/7 nonstop autonomous work milestone, Mind Robotics raises $400M to top $1B, Waymo recalls 3,800 robotaxis over flooding, Unitree debuts the world's first mass-produced human-carrying mecha, and WIRobotics closes a $68M Series B. May 11–15, 2026.
An in-depth analysis of the global industrial robotics market for 2025 — Chapter 1 of a 9-chapter bilingual research series. Covers market sizing consensus ($17.5–22 B USD), geographic deployment landscape, four real-world case studies (Ford, Volkswagen, BYD, Toyota), and 2025–2030 installation forecasts, with bilingual English-Chinese analysis for executives and investors.
Boston Dynamics' valuation has surged from $1.1B to a potential IPO target of $85B+. We verify the numbers, benchmark against Tesla Optimus, Figure AI and Apptronik, and explain what a listing would mean for the humanoid robotics industry.
RobotToday Weekly Briefing Feb 16-20, 2026: China's humanoid robots shine at Spring Festival Gala with kung fu & flips (Unitree, Galbot, Noetix, MagicLab); Unitree eyes 20K shipments; Toyota deploys Digit humanoids in Canada; Europe pushes industrial robotics; advances in 3D-printed muscles, walking stability, actuators & trillion-dollar forecasts.
Construction robots can lay 6× more bricks than humans—but unions, labor law, and political calculus are keeping them off U.S. sites. How Japan, Singapore, and Europe are winning the race instead.
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