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April 2026 Robotics Recap
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…rendering engines from companies like NVIDIA provide increasingly powerful simulation primitives, and generative techniques like world models from World Labs and others are making it cheaper to synthesize realistic environments at scale. But, Antioch said that the landscape is moving fast, with new tools, models and providers emerging constantly. For most robotics companies, just staying current is a full-time job,…
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…of warehouse environments, built on Accenture’s Physical AI Orchestrator, which uses NVIDIA Omniverse libraries, the Mega NVIDIA Omniverse Blueprint and the NVIDIA Metropolis libraries and Blueprint for video search and summarization for the deployment of visual AI agents. Accenture said this allows the robots to go beyond single repetitive functions and learn new skills through imitation and reinforcement learning.
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NVIDIA and its partners said they are demonstrating AI-driven manufacturing in action at HANNOVER MESSE 2026. The company said that HANNOVER MESSE attendees will experience how advancements in accelerated computing, AI physics, agents and robotics are powering industrial innovation - from agentic design and engineering to real-time simulation, vision AI agents and humanoid robots operating in factories. The factory of…
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…with frames flowing directly into NVIDIA hardware encoders and AI inference pipelines simultaneously. For data collection teams, Ouster said that this means higher-throughput dataset capture at full resolution. And for deployment teams, Ouster said that it means running perception, segmentation and policy networks in parallel on the same frames with more GPU headroom for the models that matter. Click here…
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…robotics stack in collaboration with NVIDIA, utilizing NVIDIA’s end-to-end computing and simulation technologies as its AI backbone. Powered by NVIDIA Jetson Thor at the edge, NVIDIA Isaac Sim and NVIDIA Isaac Lab open frameworks for simulation and robot learning, NVIDIA Cosmos for synthetic data generation and NVIDIA OSMO for cloud-to-edge orchestration. RoboForce said that it is creating a continuous data…
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…and performance accomplished at Bellefield. NVIDIA, AWS support Maximo development and deployment NVIDIA technologies supported the development and readiness of the Maximo robotic fleet deployed in California. Utilizing NVIDIA AI infrastructure together with NVIDIA Omniverse libraries and NVIDIA Isaac Sim open robotics simulation framework, AES said that the Maximo team was able to develop, test and refine robotic capabilities through…
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March 2026 Robotics Recap
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At NVIDIA GTC 2026, UK-based AI and robotics Humanoid presented a live demonstration of its multi-robot coordination system. Built on NVIDIA’s open robotics platform and powered by Humanoid’s KinetIQ AI brain, the company said that its system enables fleets of robots to interpret voice requests and coordinate physical actions in real time. KinetIQ GTC demo details The demonstration (see below)…
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At NVIDIA GTC 2026, NVIDIA said that is partnering with the global robotics ecosystem - including leading robot brain developers, industrial robot giants and humanoid pioneers - to power production-scale physical AI. The company also unveiled new NVIDIA Isaac simulation frameworks along with new NVIDIA Cosmos and NVIDIA Isaac GR00T open models that it said can be used for the…
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…the UR AI Trainer at NVIDIA GTC 2026. The companies said that the AI Trainer represents a tectonic shift as robots move from pre-programmed applications to fully AI-driven tasks. UR and Scale AI said that these systems are powered by robust data generated in AI training cells where robots imitate humans. Alongside the new AI Trainer at GTC 2026, Universal…
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…of Rapid Operator AI at NVIDIA GTC 2026. Vention said that the new system is designed to automate complex, unstructured tasks, beginning with deep bin picking. Scalable automation for high-variability manufacturing The company said that the Rapid Operator AI launch marks a significant evolution from last year's GTC technical showcase debut of AI Operator as physical AI for unstructured tasks.…
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…Robotics announced it is integrating NVIDIA Omniverse libraries into its RobotStudio to help manufacturers deploy physical AI in real-world robotics applications. The companies said that the collaboration focuses on combining ABB Robotics’ software programming, design and simulation suite, RobotStudio, with the physically accurate simulation power of NVIDIA Omniverse libraries to close technology's long-standing 'sim-to-real’ gap. ABB and NVIDIA said that…
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…travel per operator per hour. NVIDIA-Powered AMRs using lidar and vision: Utilizing KUKA’s 5th Gen AMRs, the system utilizes onboard NVIDIA processing for AI lidar and vision navigation. This reduces AMR pick mission times by over 20%. Multi-AMR interoperability: A unified software layer manages a mixed fleet of KUKA AMRs with payloads ranging from 250 kg to 3,000 kg, supporting…
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…across multi-node, high-performance system-on-chips, including NVIDIA DRIVE Orin and Thor. The company said this architecture is engineered to meet the uptime and efficiency needs of commercial freight operations. The system maintains performance under sensor degradation, calibration drift and partial hardware failure: conditions that define the difference between a demonstration system and a commercially deployable product. At the core of the…
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
