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17K views · 270 reactions | Is your robot struggling in new environments, relying on traditional task and motion planning (TAMP)? 樂 Perception + Manipulation = the key to enabling robots to update plans mid-execution and adapt to dynamic scenarios. 烙 From #NVIDIAResearch, explore perception-based and GPU-accelerated TAMP for long-horizon manipulation, a framework for improving robot manipulation skills, and more. Read the blog. ➡️ https://nvda.ws/4nGNkvM | NVIDIA Robotics | Facebook
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13 reactions | Walker is equipped with perception sensors, allowing it to observe its surroundings and recognize objects to fulfill a task. With comprehensive use of the RGB image and depth information, Walker uses deep learning to identify the position of the ball in its field of view, and can then coordinate the gait planner to follow the position of the ball. Learn about Walker's development: bit.ly/ubtech-innovation | UBTECH Robotics | Facebook
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Gemini Robotics 1.5: Advancing Robot Perception, Planning, and Tool Use Gemini Robotics 1.5 is a vision-language-action (VLA) model that enables robots to interpret visual input and instructions, translate them into motor commands, and perform multi-step tasks. The model emphasizes reasoning before action, providing transparency in task execution and supporting more reliable performance across different robotic platforms. Gemini Robotics-ER 1.5, a vision-language model (VLM), extends these capab
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Walker S2 introduces key innovations in autonomy, perception, and dexterity for industrial use. Powered by a dual-loop AI system (BrainNet 2.0 and Co-Agent), it supports both single-agent autonomy and coordinated multi-robot tasks. Equipped with an RGB stereo vision system, it offers binocular depth perception for complex environments. The 52-DoF bionic design features dexterous hands, ±162° waist rotation, and supports 15 kg payloads across a 0–1.8m workspace. Video Credit: UBTECH Robotics #eng
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