[2603.00349] EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents

Computer Science > Artificial Intelligence arXiv:2603.00349 (cs) [Submitted on 27 Feb 2026] Title:EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents Authors:Hanqing Yang, Shiyu Chen, Narjes Nourzad, Marie Siew, Jingdi Chen, Carlee Joe-Wong View a PDF of the paper titled EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents, by Hanqing Yang and 5 other authors View PDF HTML (experimental) Abstract:Real-world scenarios increasingly require multiple embodied agents to collaborate in dynamic environments under embodied constraints, as many tasks exceed the capabilities of any single agent. Recent advances in large language models (LLMs) enable high-level cognitive coordination through reasoning, planning, and natural language communication. However, fine-grained analyses of how such collaboration emerges, unfolds, and contributes to task success in embodied multi-agent systems are difficult to conduct with existing benchmarks. In this paper, we introduce EmCoop, a benchmark framework for studying cooperation in LLM-based embodied multi-agent systems. Our framework separates a high-level cognitive layer from a low-level embodied interaction layer, allowing us to characterize agent cooperation through their interleaved dynamics over time. Given a cooperation-constrained embodied task, we propose generalizable, process-level metrics that diagnose collaboration quality and failure modes, beyond final task success. We instantiate our f...