{"total":193,"rows":[{"id":"2209.05451","title":"Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation","created":"2022-09-12","cited_by_count":551,"area":null},{"id":"2106.14405","title":"Habitat 2.0: Training Home Assistants to Rearrange their Habitat","created":"2021-06-28","cited_by_count":511,"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":"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":"2306.11565","title":"HomeRobot: Open-Vocabulary Mobile Manipulation","created":"2023-06-20","cited_by_count":106,"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":"2110.03655","title":"Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks","created":"2021-10-07","cited_by_count":78,"area":null},{"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":"2111.09297","title":"Learning to Compose Visual Relations","created":"2021-11-17","cited_by_count":72,"area":null},{"id":"2512.15840","title":"Large Video Planner Enables Generalizable Robot Control","created":"2025-12-17","cited_by_count":70,"area":null},{"id":"2103.14025","title":"The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI","created":"2021-03-25","cited_by_count":65,"area":null},{"id":"2207.05006","title":"TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs","created":"2022-07-11","cited_by_count":59,"area":null},{"id":"2103.00589","title":"Learning Symbolic Operators for Task and Motion Planning","created":"2021-02-28","cited_by_count":58,"area":null},{"id":"2206.10680","title":"Learning Neuro-Symbolic Skills for Bilevel Planning","created":"2022-06-21","cited_by_count":58,"area":null},{"id":"2405.01534","title":"Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks","created":"2024-05-02","cited_by_count":52,"area":null},{"id":"2203.09634","title":"Predicate Invention for Bilevel Planning","created":"2022-03-17","cited_by_count":49,"area":null},{"id":"2209.02778","title":"Multi-skill Mobile Manipulation for Object Rearrangement","created":"2022-09-06","cited_by_count":46,"area":null},{"id":"2203.17275","title":"DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools","created":"2022-03-31","cited_by_count":44,"area":null},{"id":"2105.14074","title":"Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning","created":"2021-05-28","cited_by_count":43,"area":null},{"id":"2202.00732","title":"IFOR: Iterative Flow Minimization for Robotic Object Rearrangement","created":"2022-02-01","cited_by_count":42,"area":null},{"id":"2108.04145","title":"Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances","created":"2021-08-09","cited_by_count":40,"area":null},{"id":"2309.00966","title":"Compositional Diffusion-Based Continuous Constraint Solvers","created":"2023-09-02","cited_by_count":40,"area":null},{"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":"2310.10645","title":"Interactive Task Planning with Language Models","created":"2023-10-16","cited_by_count":37,"area":null},{"id":"2312.08566","title":"Learning adaptive planning representations with natural language guidance","created":"2023-12-13","cited_by_count":36,"area":null},{"id":"2406.11179","title":"Learning Iterative Reasoning through Energy Diffusion","created":"2024-06-17","cited_by_count":36,"area":null},{"id":"2110.15245","title":"From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence","created":"2021-10-28","cited_by_count":35,"area":null},{"id":"2106.01352","title":"NeRP: Neural Rearrangement Planning for Unknown Objects","created":"2021-06-02","cited_by_count":34,"area":null},{"id":"2210.12631","title":"LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation","created":"2022-10-23","cited_by_count":34,"area":null},{"id":"2106.13948","title":"Core Challenges in Embodied Vision-Language Planning","created":"2021-06-26","cited_by_count":30,"area":null},{"id":"2211.09935","title":"CAPE: Corrective Actions from Precondition Errors using Large Language Models","created":"2022-11-17","cited_by_count":30,"area":null},{"id":"2110.00792","title":"Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning","created":"2021-10-02","cited_by_count":29,"area":null},{"id":"2111.03112","title":"My House, My Rules: Learning Tidying Preferences with Graph Neural Networks","created":"2021-11-04","cited_by_count":27,"area":null},{"id":"2410.03132","title":"Autoregressive Action Sequence Learning for Robotic Manipulation","created":"2024-10-04","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":"2406.19228","title":"Tools Fail: Detecting Silent Errors in Faulty Tools","created":"2024-06-27","cited_by_count":25,"area":null},{"id":"2512.24766","title":"Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow","created":"2025-12-31","cited_by_count":25,"area":null},{"id":"2108.12062","title":"Predicting Stable Configurations for Semantic Placement of Novel Objects","created":"2021-08-26","cited_by_count":24,"area":null},{"id":"2402.15025","title":"Practice Makes Perfect: Planning to Learn Skill Parameter Policies","created":"2024-02-22","cited_by_count":23,"area":null},{"id":"2102.13177","title":"Efficient and Interpretable Robot Manipulation with Graph Neural Networks","created":"2021-02-25","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":"2307.10710","title":"Reparameterized Policy Learning for Multimodal Trajectory Optimization","created":"2023-07-20","cited_by_count":20,"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":"2211.01576","title":"Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning","created":"2022-11-03","cited_by_count":19,"area":null},{"id":"2309.14321","title":"Lifelong Robot Learning with Human Assisted Language Planners","created":"2023-09-25","cited_by_count":19,"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":"2210.12250","title":"STAP: Sequencing Task-Agnostic Policies","created":"2022-10-21","cited_by_count":18,"area":null},{"id":"2304.09302","title":"CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation","created":"2023-04-18","cited_by_count":18,"area":null},{"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":"2207.04364","title":"Sequential Manipulation Planning on Scene Graph","created":"2022-07-10","cited_by_count":17,"area":null},{"id":"2208.07737","title":"Learning Efficient Abstract Planning Models that Choose What to Predict","created":"2022-08-16","cited_by_count":17,"area":null},{"id":"2307.06870","title":"Embodied Lifelong Learning for Task and Motion Planning","created":"2023-07-13","cited_by_count":17,"area":null},{"id":"2403.10454","title":"Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness","created":"2024-03-15","cited_by_count":17,"area":null},{"id":"2206.08737","title":"N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments","created":"2022-06-17","cited_by_count":16,"area":null},{"id":"2308.09873","title":"Skill Transformer: A Monolithic Policy for Mobile Manipulation","created":"2023-08-19","cited_by_count":16,"area":null},{"id":"2402.11498","title":"Verifiably Following Complex Robot Instructions with Foundation Models","created":"2024-02-18","cited_by_count":16,"area":null},{"id":"2207.02442","title":"Transformers are Adaptable Task Planners","created":"2022-07-06","cited_by_count":15,"area":null},{"id":"2312.03009","title":"I-PHYRE: Interactive Physical Reasoning","created":"2023-12-04","cited_by_count":15,"area":null},{"id":"2103.05456","title":"Extended Tree Search for Robot Task and Motion Planning","created":"2021-03-09","cited_by_count":14,"area":null},{"id":"2112.10143","title":"RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment","created":"2021-12-19","cited_by_count":14,"area":null},{"id":"2504.00420","title":"Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation","created":"2025-04-01","cited_by_count":14,"area":null},{"id":"2602.21531","title":"LiLo-VLA: Compositional Long-Horizon Manipulation via Linked Object-Centric Policies","created":"2026-02-25","cited_by_count":14,"area":null},{"id":"2108.01259","title":"Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective","created":"2021-08-03","cited_by_count":11,"area":null},{"id":"2111.13144","title":"Learning to Search in Task and Motion Planning with Streams","created":"2021-11-25","cited_by_count":10,"area":null},{"id":"2203.10568","title":"Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking","created":"2022-03-20","cited_by_count":10,"area":null},{"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":"2105.11283","title":"Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces","created":"2021-05-24","cited_by_count":9,"area":null},{"id":"2311.03293","title":"Learning Reusable Manipulation Strategies","created":"2023-11-06","cited_by_count":9,"area":null},{"id":"2102.11137","title":"Program Synthesis Guided Reinforcement Learning for Partially Observed Environments","created":"2021-02-22","cited_by_count":8,"area":null},{"id":"2203.04605","title":"Representation, learning, and planning algorithms for geometric task and motion planning","created":"2022-03-09","cited_by_count":8,"area":null},{"id":"2303.14874","title":"Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments","created":"2023-03-27","cited_by_count":8,"area":null},{"id":"2309.02547","title":"Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning","created":"2023-09-05","cited_by_count":8,"area":null},{"id":"2311.01530","title":"NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors","created":"2023-11-02","cited_by_count":8,"area":null},{"id":"2504.06553","title":"ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis","created":"2025-04-09","cited_by_count":8,"area":null},{"id":"2609.12541","title":"Agent as Policy for Robotic Manipulation","created":"2026-09-11","cited_by_count":8,"area":null},{"id":"2203.02475","title":"Cooperative Task and Motion Planning for Multi-Arm Assembly Systems","created":"2022-03-04","cited_by_count":7,"area":null},{"id":"2203.03797","title":"Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2303.05501","title":"PDSketch: Integrated Planning Domain Programming and Learning","created":"2023-03-09","cited_by_count":7,"area":null},{"id":"2304.12958","title":"A Closer Look at Reward Decomposition for High-Level Robotic Explanations","created":"2023-04-25","cited_by_count":7,"area":null},{"id":"2306.05171","title":"Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2509.21983","title":"Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning","created":"2025-09-26","cited_by_count":7,"area":null},{"id":"2604.07039","title":"AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules","created":"2026-04-08","cited_by_count":7,"area":null},{"id":"2309.05197","title":"Learning Sequential Acquisition Policies for Robot-Assisted Feeding","created":"2023-09-11","cited_by_count":6,"area":null},{"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":"2406.03641","title":"Task and Motion Planning for Execution in the Real","created":"2024-06-05","cited_by_count":6,"area":null},{"id":"2505.07261","title":"CHD: Coupled Hierarchical Diffusion for Long-Horizon Tasks","created":"2025-05-12","cited_by_count":6,"area":null},{"id":"2508.03944","title":"Constraint-Preserving Data Generation for Visuomotor Policy Learning","created":"2025-08-05","cited_by_count":6,"area":null},{"id":"2306.06236","title":"iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning","created":"2023-06-09","cited_by_count":5,"area":null},{"id":"2408.17422","title":"Open-Vocabulary Action Localization with Iterative Visual Prompting","created":"2024-08-30","cited_by_count":5,"area":null},{"id":"2206.01812","title":"Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks","created":"2022-06-03","cited_by_count":4,"area":null},{"id":"2311.00837","title":"Constant-time Motion Planning with Anytime Refinement for Manipulation","created":"2023-11-01","cited_by_count":4,"area":null},{"id":"2506.07062","title":"Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search","created":"2025-06-08","cited_by_count":4,"area":null},{"id":"2509.16053","title":"Compose by Focus: Scene Graph-based Atomic Skills","created":"2025-09-19","cited_by_count":4,"area":null},{"id":"2510.00182","title":"A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2204.11936","title":"Discrete-Continuous Smoothing and Mapping","created":"2022-04-25","cited_by_count":3,"area":null},{"id":"2206.05273","title":"A General Framework for the Representation of Function and Affordance: A Cognitive, Causal, and Grounded Approach, and a Step Toward AGI","created":"2022-06-02","cited_by_count":3,"area":null},{"id":"2207.05018","title":"Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning","created":"2022-07-11","cited_by_count":3,"area":null},{"id":"2210.04333","title":"Hypergraph-based Multi-Robot Task and Motion Planning","created":"2022-10-09","cited_by_count":3,"area":null},{"id":"2211.06134","title":"Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks","created":"2022-11-11","cited_by_count":3,"area":null},{"id":"2301.10384","title":"Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles","created":"2023-01-25","cited_by_count":3,"area":null}],"next_cursor":"100"}