Agents
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.
Read originalMore from WIRED AI
More in Agents
© NVIDIA BlogAgentsagents
Perplexity Portable Computer Launches on Windows with NVIDIA RTX
Perplexity's Portable Computer is now available for Windows users with NVIDIA RTX GPUs, offering a powerful local AI agent that can handle multistep tasks directly on a PC. This release allows users to keep sensitive information on their devices while leveraging local models for data analysis and task management. The integration with NVIDIA RTX GPUs ensures accelerated performance, and the app can seamlessly transition tasks to cloud models when needed. This development brings advanced AI capabilities to more Windows users, simplifying the setup and use of local AI models without the need for complex configurations.
NVIDIA Blog
Agentsagents
