Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation
On the map: LLM reasoning → Spatial and embodied reasoning
Abstract (arXiv)
Zero-Shot Object Navigation (ZSON) enables agents to navigate towards open-vocabulary objects in unknown environments. The existing works of ZSON mainly focus on following individual instructions to find generic object classes, neglecting the utilization of natural language interaction and the complexities of identifying user-specific objects. To address these limitations, we introduce Zero-shot Interactive Personalized Object Navigation (ZIPON), where robots need to navigate to personalized goal objects while engaging in conversations with users. To solve ZIPON, we propose a new framework termed Open-woRld Interactive persOnalized Navigation (ORION), which uses Large Language Models (LLMs) to make sequential decisions to manipulate different modules for perception, navigation and communication. Experimental results show that the performance of interactive agents that can leverage user feedback exhibits significant improvement. However, obtaining a good balance between task completion and the efficiency of navigation and interaction remains challenging for all methods. We further provide more findings on the impact of diverse user feedback forms on the agents' performance. Code is available at https://github.com/sled-group/navchat.
Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Placed in Spatial and embodied reasoning, one of 17 directions in LLM reasoning. Builds on 31 of its 53 references that are in the map. First posted on arXiv 12 Oct 2023.
Builds on
31 of 53 references.
Closest ancestors · 2
Same direction, newest first
- 2023Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners4 Jul
- 2022Inner Monologue: Embodied Reasoning through Planning with Language Models12 Jul
Other references · 29
- 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,690
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- 2021Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AIcited by 579
- 2022OpenScene: 3D Scene Understanding with Open Vocabulariescited by 556
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- 2022Visual Language Maps for Robot Navigationcited by 362
- 2023ChatGPT for Robotics: Design Principles and Model Abilitiescited by 296
- 2019Vision-and-Dialog Navigationcited by 246
- 2022CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigationcited by 194
- 2022ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddingscited by 177
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- 2023LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agentcited by 134
- 2023ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigationcited by 126
- 2021GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injectioncited by 102
- 2019Personalized Dialogue Generation with Diversified Traitscited by 73
- 2022Correcting Robot Plans with Natural Language Feedbackcited by 68
- 2023"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared Autonomycited by 60
- 2018Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systemscited by 42
- 2021Transferable Dialogue Systems and User Simulatorscited by 35
- 2022SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generationcited by 34
- 2022SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understandingcited by 28
- 2018Learning Personalized End-to-End Goal-Oriented Dialogcited by 19
- 2021Task-Oriented Dialogue System as Natural Language Generationcited by 14
- 2021A Framework for Learning to Request Rich and Contextually Useful Information from Humanscited by 12
- 2022Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Realitycited by 4
- 2022Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Studycited by 2
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Citing papers per year: 2024: 13; 2025: 11; 2026: 7.
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- 2026Generalized Recognition of Basic Surgical Actions Enables Skill Assessment and Vision-Language-Model-based Surgical Planning13 Mar 2026
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- 2025Human-like Navigation in a World Built for Humans25 Sep 2025
- 2025PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents24 Sep 2025
- 2025Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model16 Sep 2025
- 2025AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment4 Jun 2025
- 2025Memory-Centric Embodied Question Answering20 May 2025
- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI1 May 2025
- 2025Freeze and Cluster: A Simple Baseline for Rehearsal-Free Continual Category Discovery12 Mar 2025
- 2025CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph23 Jan 2025
- 2024Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use31 Oct 2024
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