AI Agent Skills

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL…

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

AI for GNU Image Manipulation Program

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad…

[RSS 2025] Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation

Robotic Python - Robotic Control Interface & Manipulation Planning Library