MistyPilot: Enabling Social-Robot Control through Multi-Agent LLM Skill Orchestration
Programming small social robots from natural-language instructions requires more than invoking isolated APIs. Interactive tasks combine reactive physical behaviors with stateful social behaviors, while existing interfaces often require developers to manually compose APIs into skills, configure their parameters, bind sensor events to skills, and manage task states at runtime. We present MistyPilot, a multi-agent LLM framework that interprets high-level natural-language instructions and orchestrates the corresponding skills on the Misty social robot. A Task Router dispatches each instruction to one of two specialized agents: a Physically Interactive Agent for sensor-triggered robot control ...
| Authors | Xiao Wang, Lu Dong, Ifeoma Nwogu et al. |
|---|---|
| Primary category | cs.RO |
| Published | 16 August 2026 |
| Last updated at source | 16 August 2026 |
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