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…latest advances in dexterous robotic manipulation. Building a tactile intelligence infrastructure for physical AI As robots take on increasingly complex tasks in the physical world, perception must go beyond seeing objects and their surroundings. Contact, force, slip, and material response often determine whether an action succeeds, yet vision alone struggles to capture these physical properties. Tactile sensing provides the missing…
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…that can change shape during manipulation. Foundation models point to the next advancements SightWorks has continued to improve as OSARO incorporates operational data from its growing deployment base. Pridmore said that newer models are increasingly accurate and capable of handling wider varieties of SKUs, which reduces the amount of learning required for new installations. Looking ahead, Pridmore expects smaller foundation…
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…required. “Returns are the hardest manipulation problem in fashion logistics,” said Dr. Ralf Gulde, co-founder and CEO of Sereact. “If a system only works on articles it has seen before, it does not work in a returns operation at all. Running this in production with CEVA at Zalando volumes is the strongest proof point we have.” In July 2026, Sereact…
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…in physical AI - dexterous manipulation - building an 8.1-billion-parameter foundation model that gives robotic hands the ability to grasp, rotate, and handle objects with human-like precision across factory and service environments. Config has built a data pipeline capturing more than 200,000 hours of robot action data. The company uses generative AI to multiply that data into the diverse training…
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…minimal cross-embodiment gap from human manipulation data. As a result, Boston Dynamics said that the hand is similar in size to a large human hand, which heavily drives the size of the actuators. Thanks to several unique actuation technologies, Boston Dynamics said that it maintained similar strength to the previous hand - capable of carrying a 100lb+ loaded minifridge. The…
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…such as table tennis and manipulation challenges, or take part in robot-assisted learning experiences. Across the park, AGIBOT said that its robots can also answer questions, introduce exhibits, provide directions and guide visitors through designated areas. A new model for embodied AI in culture and tourism By integrating robots across entertainment, education, visitor services and hospitality, AGIBOT said that the…
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…blocks for perception, navigation and manipulation - without writing custom low-level wrapper code. The company said that these modules deliver high-performance capabilities out of the box, lowering technical barriers and shortening prototyping cycles. Flexiv added that the integration also provides a clear, production-ready path from NVIDIA Isaac Sim virtual testing to physical deployment, allowing teams to validate complex behaviors in…
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…most widely adopted open-source robotics manipulation frameworks. In addition to remaining open-source, Qualcomm said that MoveIt is expected to offer streamlined integration with Dragonwing robotics platforms, providing developers with a more streamlined path from AI models such as VLAs and VLMs to planning, manipulation, and real-time control. “Robotics is one of the most exciting frontiers of physical AI, and software…
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…Isaac skills for setup and manipulation provide reusable workflows that developers and AI agents can use to complete robotics development tasks. NVIDIA added that agent-ready documentation also makes it easier for AI agents to understand Isaac ROS tools and workflows, turning developer intent into working applications faster. Click here to learn more about Isaac ROS 5.0 and the robotics companies…
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…capability training to add more manipulation skills and expand to cover a facility's full workflow: from depalletizing goods as they arrive, then machine tending, kitting and sequencing, and quality inspection as items move through the facility, and finally palletizing them for shipment as they leave. With Agility’s robot management platform, the company said that Digit coordinates each handoff with a…
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…AI applications such as dexterous manipulation and force-sensitive assembly tasks. CB7 Core controller: Offering 40% more compute power in a 30% smaller footprint than previous generations, the new controller enables multi-network communication for modern automation and physical AI architectures, connecting to PLCs, HMIs, MES platforms, IPCs and vision systems, reducing the need for external switches. It is available at launch…
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…work in logistics and delicate manipulation in consumer goods R&D,” said Shiquan Wang, CEO of Flexiv Robotics. “That range is where physical AI starts being useful to the world's largest enterprises.” The company said that GRID empowers an expanding ecosystem of leading robot manufacturers with immediate access to transferable intelligence for rapid deployment and expanded capability. “As a FANUC Authorized…
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…from physical disturbances without human intervention when completing tasks requiring dexterous manipulation like chopping food and clearing workspaces, compared to the VLA baseline, which failed in a single loop and required manual intervention to recover. DYNA-2's video co-training algorithm improved scores by 133% on instruction-following tasks where robots must perform distinct motions based on user-provided commands.
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…a new level of dexterous manipulation to both hands and grippers. Gemini Robotics ER 2: DeepMind said that this is its most capable embodied reasoning (ER) model. It is a vision language model (VLM) that acts as its agent, enabling robots to communicate with humans, understand the physical world and plan multi-step tasks lasting several minutes. The company said that…
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…to learn and perform complex manipulation tasks in real-world industrial environments. Robot learning via video mimic robotics said that FLUX-mimic combines mimic's experience in robot learning, dexterous manipulation and production deployment with the frontier visual intelligence architecture of Black Forest Labs’ new FLUX 3 video model. mimic’s earlier work, “mimic-video,” introduced Video-Action Models by taking a pre-trained video generation model…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
Look beyond the headlines for the latest in humanoid robots
