Researchers from Google's Robotics team have open-sourced SayCan, a robot control method that uses a large language model (LLM) to plan a sequence of robotic actions to achieve a user-specified goal.
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Smarter robot navigation with adaptive path planning
From industrial floors to humanoid helpers, advanced path planning in ROS2 is redefining how robots move safely and efficiently. Algorithms like Regulated Pure Pursuit and DAPF-RRT combine speed ...
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Video: Robot uses vision and AI to adapt to terrain like animals in real time
A KAIST research team has developed a quadrupedal robot control system that allows machines ...
Researchers at the University of California, Berkeley, have created a versatile control system for humanoid robots to adeptly navigate a variety of terrains and obstacles. Drawing inspiration from the ...
2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...
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