RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning
RoboHarness is a framework that allows a central coding agent to plan long-horizon tasks using diverse, independent robot policies. It achieves this by wrapping each policy as an 'agentic skill' and employing memory skills to intelligently route between them. This enables stable handoffs between different robot capabilities without needing joint retraining or shared representations, improving planning for complex, varied tasks.