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AI Agents Gain Physical Control with OpenClaw
WIRED AIhigh confidence
Why it matters
- →AI-powered coding is making robotics more accessible to non-experts.
- →The 'code as policy' approach could transform how robots are programmed and controlled.
- →This development bridges the gap between traditional engineering and modern AI models.
AI agents are now being equipped with physical capabilities through projects like OpenClaw, which allows users to control robotic arms using AI-powered coding. This approach simplifies the traditionally complex task of training robots, making it accessible to a wider audience. The LeRobot 101, part of an open-source project, exemplifies this trend by enabling users to train AI models to manipulate objects. Researchers from UC Berkeley and Nvidia are advancing this 'code as policy' method, which could revolutionize robotics by making it easier for people to interact with robots through simple commands or demonstrations.
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