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GEN-1 Foundation Model Boosts Robot Reliability and Speed
Generalist introduced GEN-1, a multimodal robot learning model that controls robot actions in real time. It is trained on over 500,000 hours of physical interaction data,
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Generalist introduced GEN-1, a multimodal robot learning model that controls robot actions in real time. It is trained on over 500,000 hours of physical interaction data,
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Universal Robots introduced a system that captures synchronized data from robots in production environments, rather than in separate lab setups. Built with Scale AI, it is designed for customers
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Figure has released Helix 02, a major upgrade to its foundation model that brings full-body autonomy to its existing humanoid platform. Building on the previous Helix model which controlled the upper body from vision inputs, Helix 02 now integrates lower body
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Microsoft has introduced Rho-alpha, a vision-language-action model that lets robots follow spoken or written instructions like “Insert the plug” or “Turn the knob to position 5.” It combines visual input with a sense of touch to guide actions
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mimic-video is a new robot control system from teams at mimic robotics, Microsoft Zurich, ETH Zurich, ETH AI Center, and UC Berkeley. The team says that the new model helps robots learn faster and with less training data.
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NVIDIA has released DRIVE Alpamayo-R1 (AR1), a reasoning model built for autonomous vehicle research. It’s a VLA (vision-language-action) model built on the company’s Cosmos Reason platform.
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Figure has unveiled Figure 03, its third-generation humanoid robot, designed from the ground up as a scalable, general-purpose system. Created for home and commercial use, the robot features a complete hardware and software redesign, which is designed to scale.
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Google has introduced two robotics-focused models, Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, designed to bring structured reasoning and physical control into real-world environments.
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Figure has launched Project Go-Big, a new effort to create the largest and most diverse dataset ever used to train humanoid robots. The goal is to teach Helix—Figure’s Vision-Language-Action model—how people move and act in everyday life by using first-person video recorded in real homes.
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