PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
On the map: LLM reasoning → Spatial and embodied reasoning
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Abstract (arXiv)
We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and heterogeneous agent capability constraints. We employ a semi-automated task generation pipeline using Large Language Models (LLMs), incorporating simulation in the loop for grounding and verification. PARTNR stands as the largest benchmark of its kind, comprising 100,000 natural language tasks, spanning 60 houses and 5,819 unique objects. We analyze state-of-the-art LLMs on PARTNR tasks, across the axes of planning, perception and skill execution. The analysis reveals significant limitations in SoTA models, such as poor coordination and failures in task tracking and recovery from errors. When LLMs are paired with real humans, they require 1.5x as many steps as two humans collaborating and 1.1x more steps than a single human, underscoring the potential for improvement in these models. We further show that fine-tuning smaller LLMs with planning data can achieve performance on par with models 9 times larger, while being 8.6x faster at inference. Overall, PARTNR highlights significant challenges facing collaborative embodied agents and aims to drive research in this direction.
Key facts. Cited by 82 papers in the map (data through 14 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 0 of its 64 references that are in the map. First posted on arXiv 31 Oct 2024.
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Citing papers per year: 2024: 5; 2025: 30; 2026: 47.
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- 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMscited by 10
- 2025A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomycited by 9
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- 2025PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilitiescited by 7
- 2025CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scalecited by 7
- 2026AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraintscited by 7
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- 2025When Should Users Check? Modeling Confirmation Frequency in Multi-Step Agentic AI Taskscited by 6
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- 2026DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum17 Sep 2026
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- 2026CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning28 Aug 2026
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- 2026Advances and Innovations in the Multi-Agent Robotic System (MARS) Challengecited by 1
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- 2026MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments30 Jun 2026
- 2026Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge26 Jan 2026
- 2025VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning10 Jun 2025
- 2025Embodied AI with Foundation Models for Mobile Service Robots: A Systematic Review26 May 2025
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- 2025IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation21 Nov 2025
- 2025Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities17 Jul 2025
- 2025Large Language Models for Planning: A Comprehensive and Systematic Survey26 May 2025
- 2025Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning24 Apr 2025
- 2025CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs3 Mar 2025
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- 2026RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations21 Sep 2026
- 2026MAGMA-GEN: Validated Recovery Supervision from Ambiguous Failures via Counterfactual Re-Execution17 Sep 2026
- 2026FramingQA: Does the Question Shape the Answer? Measuring the Compositional Framing Effect7 Sep 2026
- 2026GuideFetch: A Task Coordination Framework for Concurrent Navigation and Object Retrieval in Assistive Robot Dogs18 Aug 2026
- 2026UniETP: Unifying Environments for Generalizable Embodied Task Planning20 Jul 2026
- 2026Learning social norms enhances compatibility in dynamic human-AI coordination8 Jul 2026
- 2026CoMind: Understanding Collaborative Human Activity from Multiple Minds and Views7 Jul 2026
- 2026Scaling Diverse Language Generation for 3D Visual Grounding18 Jun 2026
- 2026WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents17 Jun 2026
- 2026RescueBench: Can Embodied Agents Save Lives in the Wild ?1 Jun 2026
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