CaP-X: Coding Agents for Physical eXecution

from Embodied AI 101 · host Shaoqing Tan

CaP-X is an open-source agentic robotics framework where LLMs/VLMs generate code to call perception and control APIs for execution across diverse simulated and real robots in CaP-Gym's 187 manipulation tasks. The framework includes CaP-Bench for evaluating frontier models and CaP-RL, which boosts a 7B model's success from 20% to 72% with minimal sim-to-real gap.

Episode metadata supplied by the publisher feed · Published Apr 6, 2026

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CaP-X: Coding Agents for Physical eXecution

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