{"total":141,"rows":[{"id":"2305.14992","title":"Reasoning with Language Model is Planning with World Model","created":"2023-05-24","cited_by_count":861,"area":"wm"},{"id":"2307.05973","title":"VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models","created":"2023-07-12","cited_by_count":750,"area":null},{"id":"2307.06435","title":"A Comprehensive Overview of Large Language Models","created":"2023-07-12","cited_by_count":648,"area":null},{"id":"2310.12931","title":"Eureka: Human-Level Reward Design via Coding Large Language Models","created":"2023-10-19","cited_by_count":571,"area":"alignment"},{"id":"2304.11477","title":"LLM+P: Empowering Large Language Models with Optimal Planning Proficiency","created":"2023-04-22","cited_by_count":501,"area":null},{"id":"2307.01928","title":"Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners","created":"2023-07-04","cited_by_count":308,"area":"lr"},{"id":"2305.14078","title":"Large Language Models as Commonsense Knowledge for Large-Scale Task Planning","created":"2023-05-23","cited_by_count":231,"area":"wm"},{"id":"2307.04721","title":"Large Language Models as General Pattern Machines","created":"2023-07-10","cited_by_count":197,"area":null},{"id":"2307.04738","title":"RoCo: Dialectic Multi-Robot Collaboration with Large Language Models","created":"2023-07-10","cited_by_count":172,"area":null},{"id":"2311.17842","title":"Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning","created":"2023-11-29","cited_by_count":161,"area":null},{"id":"2402.17766","title":"ShapeLLM: Universal 3D Object Understanding for Embodied Interaction","created":"2024-02-27","cited_by_count":137,"area":"mllm"},{"id":"2406.04520","title":"NATURAL PLAN: Benchmarking LLMs on Natural Language Planning","created":"2024-06-06","cited_by_count":128,"area":null},{"id":"2306.12672","title":"From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought","created":"2023-06-22","cited_by_count":119,"area":"wm"},{"id":"2306.06531","title":"AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers","created":"2023-06-10","cited_by_count":113,"area":null},{"id":"2307.13721","title":"Foundational Models Defining a New Era in Vision: A Survey and Outlook","created":"2023-07-25","cited_by_count":110,"area":null},{"id":"2312.08782","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","created":"2023-12-14","cited_by_count":103,"area":null},{"id":"2411.04549","title":"Vision Language Models are In-Context Value Learners","created":"2024-11-07","cited_by_count":90,"area":"mllm"},{"id":"2310.10103","title":"Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning","created":"2023-10-16","cited_by_count":89,"area":null},{"id":"2401.04334","title":"Large Language Models for Robotics: Opportunities, Challenges, and Perspectives","created":"2024-01-09","cited_by_count":89,"area":"mllm"},{"id":"2406.01967","title":"DrEureka: Language Model Guided Sim-To-Real Transfer","created":"2024-06-04","cited_by_count":83,"area":null},{"id":"2408.00764","title":"AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation","created":"2024-08-01","cited_by_count":83,"area":"lr"},{"id":"2308.13724","title":"ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning","created":"2023-08-26","cited_by_count":77,"area":null},{"id":"2311.12015","title":"GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration","created":"2023-11-20","cited_by_count":77,"area":"mllm"},{"id":"2406.17840","title":"Human-Object Interaction from Human-Level Instructions","created":"2024-06-25","cited_by_count":64,"area":null},{"id":"2403.11552","title":"LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning","created":"2024-03-18","cited_by_count":63,"area":"lr"},{"id":"2402.05741","title":"Real-World Robot Applications of Foundation Models: A Review","created":"2024-02-08","cited_by_count":61,"area":"mllm"},{"id":"2402.16117","title":"RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis","created":"2024-02-25","cited_by_count":58,"area":null},{"id":"2310.03249","title":"Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning","created":"2023-10-05","cited_by_count":49,"area":"lr"},{"id":"2310.08582","title":"Tree-Planner: Efficient Close-loop Task Planning with Large Language Models","created":"2023-10-12","cited_by_count":48,"area":"lr"},{"id":"2410.02193","title":"Guiding Long-Horizon Task and Motion Planning with Vision Language Models","created":"2024-10-03","cited_by_count":47,"area":"mllm"},{"id":"2409.12894","title":"VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation","created":"2024-09-19","cited_by_count":45,"area":"vla"},{"id":"2409.15146","title":"COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models","created":"2024-09-23","cited_by_count":45,"area":"lr"},{"id":"2310.13065","title":"Creative Robot Tool Use with Large Language Models","created":"2023-10-19","cited_by_count":43,"area":"agents"},{"id":"2310.07263","title":"CoPAL: Corrective Planning of Robot Actions with Large Language Models","created":"2023-10-11","cited_by_count":40,"area":null},{"id":"2401.02500","title":"On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)","created":"2024-01-04","cited_by_count":40,"area":null},{"id":"2503.18971","title":"LLMs as Planning Formalizers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models","created":"2025-03-22","cited_by_count":38,"area":null},{"id":"2404.03275","title":"DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models","created":"2024-04-04","cited_by_count":33,"area":null},{"id":"2407.09829","title":"VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation","created":"2024-07-13","cited_by_count":33,"area":"mllm"},{"id":"2410.14660","title":"A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning","created":"2024-10-18","cited_by_count":30,"area":"alignment"},{"id":"2312.06876","title":"Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks","created":"2023-12-11","cited_by_count":27,"area":null},{"id":"2305.17590","title":"Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds","created":"2023-05-27","cited_by_count":26,"area":null},{"id":"2402.14623","title":"RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation","created":"2024-02-22","cited_by_count":26,"area":null},{"id":"2406.19228","title":"Tools Fail: Detecting Silent Errors in Faulty Tools","created":"2024-06-27","cited_by_count":25,"area":null},{"id":"2309.12188","title":"SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs","created":"2023-09-21","cited_by_count":24,"area":null},{"id":"2304.08587","title":"Grounding Classical Task Planners via Vision-Language Models","created":"2023-04-17","cited_by_count":23,"area":"mllm"},{"id":"2406.08824","title":"LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions","created":"2024-06-13","cited_by_count":22,"area":null},{"id":"2412.00171","title":"RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World","created":"2024-11-29","cited_by_count":22,"area":null},{"id":"2309.10092","title":"Conformal Temporal Logic Planning using Large Language Models","created":"2023-09-18","cited_by_count":21,"area":null},{"id":"2404.02817","title":"A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches","created":"2024-04-03","cited_by_count":20,"area":null},{"id":"2406.05572","title":"Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint Satisfaction","created":"2024-06-08","cited_by_count":19,"area":null},{"id":"2406.13094","title":"Exploring and Benchmarking the Planning Capabilities of Large Language Models","created":"2024-06-18","cited_by_count":19,"area":null},{"id":"2312.09348","title":"LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems","created":"2023-12-14","cited_by_count":18,"area":"agents"},{"id":"2402.15368","title":"Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction","created":"2024-02-23","cited_by_count":18,"area":null},{"id":"2404.11027","title":"Empowering Large Language Models on Robotic Manipulation with Affordance Prompting","created":"2024-04-17","cited_by_count":17,"area":null},{"id":"2502.12435","title":"A Survey on Large Language Models for Automated Planning","created":"2025-02-18","cited_by_count":17,"area":null},{"id":"2312.04533","title":"Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models","created":"2023-12-07","cited_by_count":16,"area":"mllm"},{"id":"2411.01775","title":"Eurekaverse: Environment Curriculum Generation via Large Language Models","created":"2024-11-04","cited_by_count":16,"area":null},{"id":"2311.17406","title":"LLM-State: Open World State Representation for Long-horizon Task Planning with Large Language Model","created":"2023-11-29","cited_by_count":15,"area":null},{"id":"2406.17659","title":"DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning","created":"2024-06-25","cited_by_count":14,"area":"mllm"},{"id":"2503.10049","title":"Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy","created":"2025-03-13","cited_by_count":12,"area":"agents"},{"id":"2511.02424","title":"ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning","created":"2025-11-04","cited_by_count":12,"area":"agents"},{"id":"2310.09454","title":"LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents","created":"2023-10-14","cited_by_count":11,"area":"lr"},{"id":"2402.16836","title":"PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models","created":"2024-02-26","cited_by_count":11,"area":"mllm"},{"id":"2503.01700","title":"Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation","created":"2025-03-03","cited_by_count":10,"area":null},{"id":"2405.11928","title":"\"Set It Up!\": Functional Object Arrangement with Compositional Generative Models","created":"2024-05-20","cited_by_count":9,"area":null},{"id":"2410.05191","title":"LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation","created":"2024-10-07","cited_by_count":9,"area":"mllm"},{"id":"2411.08253","title":"Open-World Task and Motion Planning via Vision-Language Model Generated Constraints","created":"2024-11-13","cited_by_count":9,"area":"mllm"},{"id":"2405.06907","title":"AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents","created":"2024-05-11","cited_by_count":8,"area":"agents"},{"id":"2408.08282","title":"Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model","created":"2024-08-15","cited_by_count":8,"area":null},{"id":"2405.17846","title":"Safety Control of Service Robots with LLMs and Embodied Knowledge Graphs","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2406.12000","title":"Look Further Ahead: Testing the Limits of GPT-4 in Path Planning","created":"2024-06-17","cited_by_count":7,"area":null},{"id":"2407.18908","title":"Wolf: Dense Video Captioning with a World Summarization Framework","created":"2024-07-26","cited_by_count":7,"area":null},{"id":"2409.11905","title":"AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots","created":"2024-09-18","cited_by_count":7,"area":null},{"id":"2410.12475","title":"Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering","created":"2024-10-16","cited_by_count":7,"area":"agents"},{"id":"2502.20742","title":"Structured Preference Optimization for Vision-Language Long-Horizon Task Planning","created":"2025-02-28","cited_by_count":7,"area":"alignment"},{"id":"2503.17309","title":"LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2505.11814","title":"ChatHTN: Interleaving Approximate (LLM) and Symbolic HTN Planning","created":"2025-05-17","cited_by_count":7,"area":null},{"id":"2506.06376","title":"Enhancing Decision-Making of Large Language Models via Actor-Critic","created":"2025-06-04","cited_by_count":7,"area":null},{"id":"2308.08295","title":"CMD: a framework for Context-aware Model self-Detoxification","created":"2023-08-16","cited_by_count":6,"area":null},{"id":"2310.06775","title":"Conceptual Framework for Autonomous Cognitive Entities","created":"2023-10-03","cited_by_count":6,"area":"agents"},{"id":"2312.06408","title":"DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics","created":"2023-12-11","cited_by_count":6,"area":null},{"id":"2411.18711","title":"Evaluating Vision-Language Models as Evaluators in Path Planning","created":"2024-11-27","cited_by_count":6,"area":"lr"},{"id":"2508.01943","title":"ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks","created":"2025-08-03","cited_by_count":6,"area":"lr"},{"id":"2412.01663","title":"DaDu-E: Rethinking the Role of Large Language Model in Robotic Computing Pipeline","created":"2024-12-02","cited_by_count":5,"area":"lr"},{"id":"2502.02066","title":"Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments","created":"2025-02-04","cited_by_count":5,"area":null},{"id":"2311.08530","title":"SceneScore: Learning a Cost Function for Object Arrangement","created":"2023-11-14","cited_by_count":4,"area":null},{"id":"2401.03388","title":"LLMs for Robotic Object Disambiguation","created":"2024-01-07","cited_by_count":4,"area":null},{"id":"2409.09536","title":"VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2504.05225","title":"Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation","created":"2025-04-07","cited_by_count":4,"area":"mllm"},{"id":"2309.13707","title":"ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A Star","created":"2023-09-24","cited_by_count":3,"area":null},{"id":"2311.15649","title":"RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks","created":"2023-11-27","cited_by_count":3,"area":"agents"},{"id":"2409.10027","title":"E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models","created":"2024-09-16","cited_by_count":3,"area":null},{"id":"2510.12072","title":"EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making","created":"2025-10-14","cited_by_count":3,"area":null},{"id":"2605.12620","title":"Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2406.03757","title":"RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models","created":"2024-06-06","cited_by_count":2,"area":null},{"id":"2410.06473","title":"GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic Guidance","created":"2024-10-09","cited_by_count":2,"area":"agents"},{"id":"2410.13756","title":"CLIMB: Language-Guided Continual Learning for Task Planning with Iterative Model Building","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2502.19135","title":"Combining Large Language Models and Symbolic Reasoning for Multi-Robot Temporal Planning through Explainable Knowledge Bases","created":"2025-02-26","cited_by_count":2,"area":"lr"},{"id":"2603.03704","title":"Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning","created":"2026-03-04","cited_by_count":2,"area":null},{"id":"2603.05621","title":"RACAS: Controlling Diverse Robots With a Single Agentic System","created":"2026-03-05","cited_by_count":2,"area":"agents"}],"next_cursor":"100"}