CoMuRoS - An LLM-based generalizable hierarchical task planning and execution framework for heterogeneous robot teams with event-driven re-planning
Heterogeneous multi-robot teams require systems that can interpret natural-language goals, allocate tasks, and adapt to unexpected events. We developed CoMuRoS (Collaborative Multi-Robot System), a generalizable hierarchical architecture combining a centralized task-manager LLM with decentralized robot-level LLMs for executable Python generation from primitive ROS2 skills. The task manager uses static planning rules and dynamic context, including task history, robot/task status, and detected eve
Record details
Published: 4 August 2026
Source: Frontiers in Robotics and AI
Category: Research
Topics: Agents & autonomy
Retrieved: 5 August 2026
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ethics.ai (4 August 2026), “CoMuRoS - An LLM-based generalizable hierarchical task planning and execution framework for heterogeneous robot teams with event-driven re-planning,” evidence record 16354, https://ethics.ai/record/16354 (originally published by Frontiers in Robotics and AI).
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