Annotating MCP Data for Context-Aware Robot Agents
Traditional autonomous platforms perceive the surrounding space purely as a set of faceless geometric obstacles, where each wall, box, or human figure is merely a set of coordinates to be bypassed. However, the integration of the Model context protocol (MCP) fundamentally changes this approach, allowing the physical perception of the