CLIP-RT enables non-experts to control robots using everyday language, democratizing robotics development without specialized hardware or technical expertise.

• Creates robotic policies from natural language instructions like "move arm right"
• Leverages large language models and computer vision to understand commands
• Demonstrates 77.6% success rate on 24 real-world household tasks
• Enables non-technical users to train robots for custom tasks

This breakthrough in Engineering makes robotics more accessible by removing technical barriers, allowing broader adoption in everyday settings where specialized expertise is unavailable.

CLIP-RT: Learning Language-Conditioned Robotic Policies from Natural Language Supervision