Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
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Abstract (arXiv)
Navigation in unfamiliar environments presents a major challenge for robots: while mapping and planning techniques can be used to build up a representation of the world, quickly discovering a path to a desired goal in unfamiliar settings with such methods often requires lengthy mapping and exploration. Humans can rapidly navigate new environments, particularly indoor environments that are laid out logically, by leveraging semantics -- e.g., a kitchen often adjoins a living room, an exit sign indicates the way out, and so forth. Language models can provide robots with such knowledge, but directly using language models to instruct a robot how to reach some destination can also be impractical: while language models might produce a narrative about how to reach some goal, because they are not grounded in real-world observations, this narrative might be arbitrarily wrong. Therefore, in this paper we study how the ``semantic guesswork'' produced by language models can be utilized as a guiding heuristic for planning algorithms. Our method, Language Frontier Guide (LFG), uses the language model to bias exploration of novel real-world environments by incorporating the semantic knowledge stored in language models as a search heuristic for planning with either topological or metric maps. We evaluate LFG in challenging real-world environments and simulated benchmarks, outperforming uninformed exploration and other ways of using language models.
Key facts. Cited by 89 papers in the map (data through 14 Oct 2026). Builds on 36 of its 54 references that are in the map. First posted on arXiv 16 Oct 2023.
Builds on
36 of 54 references.
References · 36
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
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- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,348
- 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,071
- 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,035
- 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,027
- 2022PaLI: A Jointly-Scaled Multilingual Language-Image Modelcited by 766
- 2021CLIPort: What and Where Pathways for Robotic Manipulationcited by 622
- 2022Detecting Twenty-thousand Classes using Image-level Supervisioncited by 614
- 2022ProgPrompt: Generating Situated Robot Task Plans using Large Language Modelscited by 611
- 2022LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Actioncited by 439
- 2022VIMA: General Robot Manipulation with Multimodal Promptscited by 407
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- 2022Visual Language Maps for Robot Navigationcited by 365
- 2019DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Framescited by 362
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- 2023Text2Motion: From Natural Language Instructions to Feasible Planscited by 224
- 2023ViNT: A Foundation Model for Visual Navigationcited by 222
- 2018Semi-parametric Topological Memory for Navigationcited by 209
- 2022ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddingscited by 178
- 2020Improving Vision-and-Language Navigation with Image-Text Pairs from the Webcited by 177
- 2022GNM: A General Navigation Model to Drive Any Robotcited by 171
- 2022CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memorycited by 165
- 2022Open-vocabulary Queryable Scene Representations for Real World Planningcited by 160
- 2022PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learningcited by 150
- 2023Task and Motion Planning with Large Language Models for Object Rearrangementcited by 141
- 2023Translating Natural Language to Planning Goals with Large-Language Modelscited by 133
- 2021Rapid Exploration for Open-World Navigation with Latent Goal Modelscited by 121
- 2023L3MVN: Leveraging Large Language Models for Visual Target Navigationcited by 120
- 2022Navigating to Objects in the Real Worldcited by 106
- 2022Grounding Language with Visual Affordances over Unstructured Datacited by 101
- 2023Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigationcited by 74
- 2023OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNavcited by 70
- 2022ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hintscited by 58
- 2019Deep Visual MPC-Policy Learning for Navigationcited by 56
- 2020Semantic Curiosity for Active Visual Learningcited by 45
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Citing papers per year: 2023: 3; 2024: 47; 2025: 28; 2026: 11.
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- 2025ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination19 Dec 2025
- 2025Efficient Navigation in Unknown Indoor Environments with Vision-Language Models6 Oct 2025
- 2025EvoVLMA: Evolutionary Vision-Language Model Adaptation3 Aug 2025
- 2025Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach31 Jan 2025
- 2024Multimodal LLM Guided Exploration and Active Mapping using Fisher Information22 Oct 2024
- 2024Find Everything: A General Vision Language Model Approach to Multi-Object Search1 Oct 2024
- 2024Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization26 Sep 2024
- 2024MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?28 Jun 2024
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- 2024Commonsense Reasoning for Legged Robot Adaptation with Vision-Language Modelscited by 15
- 2024Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Modelscited by 12
- 2025Distilling On-device Language Models for Robot Planning with Minimal Human Interventioncited by 10
- 2023Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Modelscited by 9
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- 2025When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation26 Jul 2025
- 2025Distilling On-device Language Models for Robot Planning with Minimal Human Intervention20 Jun 2025
- 2025Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation20 Feb 2025
- 2024Diffusion as Reasoning: Enhancing Object Navigation via Diffusion Model Conditioned on LLM-based Object-Room Knowledge29 Oct 2024
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- 2023Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents20 Nov 2023
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- 2025DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigationcited by 6
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- 2025DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation28 May 2025
- 2024Guide-LLM: An Embodied LLM Agent and Text-Based Topological Map for Robotic Guidance of People with Visual Impairments28 Oct 2024
- 2024Cog-GA: A Large Language Models-based Generative Agent for Vision-Language Navigation in Continuous Environments4 Sep 2024
- 2024Odyssey: Empowering Minecraft Agents with Open-World Skills22 Jul 2024
- 2024CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations30 Jun 2024
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- 20243D-Mem: 3D Scene Memory for Embodied Exploration and Reasoningcited by 75
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- 2024VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Modelcited by 57
- 2024Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environmentscited by 50
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- 2026ObsGraph: Hierarchical Observation Representation for Embodied Reasoning and Exploration23 Jun 2026
- 2026End-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users19 Jun 2026
- 2025PIGEON: VLM-Driven Object Navigation via Points of Interest Selection17 Nov 2025
- 2025EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval21 Oct 2025
- 2025A roadmap for AI in robotics26 Jul 2025
- 2025Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering17 Jul 2025
- 2025A Signal Contract for Online Language Grounding and Discovery in Decision-Making9 Jun 2025
- 2025CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation4 Jun 2025
- 2025Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities14 May 2025
- 2025Air-Ground Collaboration for Language-Specified Missions in Unknown Environments14 May 2025
12 newest of 46 All 46 (JSON)