CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation

1. 1Develop and train Code-as-Policy agents using CaP-X framework
2. 2Evaluate the performance of agents in robot manipulation tasks using CaP-Gym environment
3. 3Analyze and improve the effectiveness of agents as autonomous controllers
4. 4Integrate CaP-X with other Vision-Language-Action methods for enhanced performance

Robotics engineers and AI researchers on a team can benefit from CaP-X to develop and evaluate autonomous controllers for embodied manipulation, and software engineers can use it to improve the programming of robots

💡 CaP-X provides a systematic way to study and improve Code-as-Policy agents for robot manipulation

🤖 Improve robot manipulation with CaP-X, a framework for benchmarking coding agents!