Scale Robot Policy Evaluation with Ray

MCP and Robotics: How the Model Context Protocol Bridges AI Agents and Robot Systems via ROS

A comprehensive guide to connecting AI agents with robots through MCP — covering ROS/ROS2 MCP servers, the rosbridge architecture, robot man

Action Images: End-to-End Robotic Policy Learning via Multiview Video Generation

Contribute to UMass-Embodied-AGI/ActionImages development by creating an account on GitHub.

ACM Transactions on Human-Robot Interaction (thri) Vol 15, Issue 4

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

arXiv:2607.08768v1 Announce Type: new Abstract: The rapid development of large language models and multimodal large language models has acce

RoboDojo puts generalist robot policies through a tougher sim-and-real test

Tianxing Chen's team evaluated 30 policies across 42 simulation tasks and 18 real-world tasks, with top success rates still in single digits

AgentGym-RL: A Reinforcement Learning Framework for Training LLM Agents in Multi-Turn Decision Making

Developing autonomous LLM agents capable of making a series of intelligent decisions to solve complex, real-world tasks is a fast-evolving f

AgentGym-RL: A Reinforcement Learning Framework for Training LLM Agents in Multi-Turn Decision Making

Developing autonomous LLM agents capable of making a series of intelligent decisions to solve complex, real-world tasks is a fast-evolving f