At the recent Humanoid Robots Summit 2026 in Stuttgart, Vector Informatik, PEM Motion, and FMC³ Robotics signed a memorandum of understanding at Vector’s headquarters to jointly develop a standardized data infrastructure for industrial embodied AI. The agreement combines the partners’ complementary strengths in production engineering, standardized industrial data technologies, robotics, and embodied AI to support […]

Global humanoid robot shipments approached 25,000 units in the first half of 2026, up 432.1 percent year on year, according to the latest market data from International Data Corporation (IDC). Agibot ranked first globally, shipping more than 8,600 humanoid robots during the period and accounting for approximately 35 percent of global shipments. The latest figures […]

Neura Robotics is entering healthcare. The company is bringing physical AI, and the cognitive robots built on it, to one of the most structurally strained sectors in modern economies: healthcare and life sciences, where staff shortages and capacity limits leave care teams with too little time for patients. And the gap is widening: the World […]

Astribot, a Shenzhen, China-based physical AI company, showcased its T1 humanoid robot to North America for the first time at IROS 2026, which took place from September 27 to October 1 at the David L. Lawrence Convention Center in Pittsburgh, Pennsylvania. The company demonstrated its integrated approach to physical AI spanning continuously improving AI models, […]

Boston Dynamics has unveiled a new four-finger hand for its Atlas humanoid robot, designed to combine the dexterity needed for complex manipulation and tool use with the strength and durability required for industrial work. The new hand has 13 degrees of freedom (DOF), including a four-DOF opposable thumb, and uses direct actuation together with dense […]

Flexiv, a specialist developer of general-purpose robotics, has participated at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026), which finished yesterday.  Attendees visited booth 922 inside the David L. Lawrence Convention Center to watch and interact with live demonstrations of next-generation robotic capabilities. Powered by high-precision force control and artificial intelligence, Flexiv’s […]

Runway, one of the best-known developers of generative AI video technology, is moving into robotics with Praxis-1, an open-weight AI model designed to use knowledge learned from video to control physical robots. “Open-weight” means developers can download the model and run or adapt it themselves, rather than only accessing it through Runway’s servers. The company […]

ANYbotics has launched Shift, a new software platform designed to manage fleets of autonomous inspection robots and connect the data they collect directly with industrial maintenance and enterprise systems. The platform brings together plant mapping, robot fleet management, inspection data and maintenance workflows, enabling companies to operate multiple robots and organize their findings around existing […]

Chipmaker AMD has entered into a definitive agreement to acquire World Labs, an AI model and research lab led by AI pioneer Dr. Fei-Fei Li. The acquisition will bring a world-class team of researchers and model experts to AMD, strengthening its ability to develop AI hardware, software and systems around the needs of emerging models […]

Boston Dynamics has released Spot 5.2, a major software update designed to connect its quadruped robots more closely with enterprise systems and enable AI agents to trigger autonomous inspections and other actions on the factory floor. The release expands the capabilities of both the company’s Spot robot and Orbit fleet management software, with new integrations […]

Inbolt, which gives industrial robots the ability to see, think, and adapt in real time, has announced $12.5 million in funding. The round was led by new investor Shift4Good, a venture capital firm focused on decarbonizing transportation and energy, and joined by Bridges Climate Transition Partners, a specialist private markets investor focused on the transition […]

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in...

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in OpenUSD, add physics properties, render preflight views, and validate the result against simulation-ready (SimReady) requirements. This workflow follows that process from a scene in Blender to a simulation-ready OpenUSD handoff for NVIDIA…

Source

Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run...

Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run locally on edge hardware. Developers building agents have had to route inference through a data center, adding network dependency, increasing costs, and exposing data that may need to stay on device. That constraint is lifting.

Source

A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle...

A perception stack is shaped by the vehicle that carries it. Move the same software to a new carline—for example, from an SUV to a sedan or another vehicle variant in the portfolio—and its perception of the world changes. The sensor placement, calibration, fields of view, occlusions, body geometry, timing, and coverage all shift. A traffic light may appear in a different part of the frame.

Source

Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to...

Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal safely. Moving this capability to a new robot or scene can require new data, simulation assets, robot interfaces…

Source

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for learning physical interactions, but their size can make on-device deployment difficult. This changes with the new NVIDIA Cosmos 3 Edge. Cosmos 3 Edge is a 4B omni-model (with a 2B NVIDIA Nemotron-based reasoner) in the Cosmos 3 family.

Source

💾

A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...

A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene often fails when object shapes, positions, or lighting change. Generalizing to these new conditions requires the policy to understand the tasks underlying physics, not just mimic the demonstrations. This ability comes from the backbone it’s…

Source

Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....

Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation. Every demonstration requires specialized equipment, clinical expertise, and access to patients or laboratory environments. This creates three fundamental challenges for developers. First is the data gap. Training modern robotic policies…

Source

💾

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and...

Developers building 3D, design, simulation, robotics, and industrial digital twin applications need ways to bring physical AI capabilities into the tools and services they already use. Many of these workflows already depend on OpenUSD scenes, simulation-ready (SimReady) assets, Blender-based workflows, CAD pipelines, or domain-specific app stacks. The challenge is how to provide applications and…

Source

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning models to production video tasks, developers often lose days to data formatting, container setup, training scripts, baseline evaluation, and hyperparameter sweeps before they even know whether post-training improves accuracy.

Source