SOTAVerified

Object Rearrangement

Papers

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Showing 1–50 of 63 papers

TitleStatusHype
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs—0
Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance—0
PARSEC: Preference Adaptation for Robotic Object Rearrangement from Scene ContextCode0
LangPert: Detecting and Handling Task-level Perturbations for Robust Object Rearrangement—0
Embodied Chain of Action Reasoning with Multi-Modal Foundation Model for Humanoid Loco-manipulation—0
Learning 3D Scene Analogies with Neural Contextual Scene Maps—0
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object ManipulationCode3
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs—0
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement TasksCode2
Hierarchical Object-Oriented POMDP Planning for Object Rearrangement—0
Few-Shot Task Learning through Inverse Generative Modeling—0
3DGS-CD: 3D Gaussian Splatting-based Change Detection for Physical Object RearrangementCode2
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents—0
Open6DOR: Benchmarking Open-instruction 6-DoF Object Rearrangement and A VLM-based ApproachCode2
Structured Spatial Reasoning with Open Vocabulary Object Detectors—0
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes—0
Stimulating Imagination: Towards General-purpose Object Rearrangement—0
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement—0
CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangementCode2
Reinforcement Learning via Auxiliary Task DistillationCode0
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane—0
MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting—0
Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure PriorCode2
Learning Dual-arm Object Rearrangement for Cartesian Robots—0
Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models—0
STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots—0
Learning visual-based deformable object rearrangement with local graph neural networksCode0
Video Language Planning—0
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics—0
ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A Star—0
SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs—0
Multi3DRefer: Grounding Text Description to Multiple 3D ObjectsCode1
Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning—0
"Tidy Up the Table": Grounding Common-sense Objective for Tabletop Object Rearrangement—0
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language ModelsCode2
Multi-Object Manipulation via Object-Centric Neural Scattering Functions—0
MANER: Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments—0
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation—0
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning—0
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement—0
GPT-4 Technical ReportCode6
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments—0
Phone2Proc: Bringing Robust Robots Into Our Chaotic World—0
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning—0
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor FieldsCode1
Hypergraph-based Multi-Robot Task and Motion Planning—0
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene—0
Multi-skill Mobile Manipulation for Object RearrangementCode1
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification—0
Toward Efficient Task Planning for Dual-Arm Tabletop Object Rearrangement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SoFar6-DoF48.7—Unverified
2GPT-4Vpos-level146.8—Unverified
3Open6DOR6-DoF35.6—Unverified
4VoxPoserpos-level135.6—Unverified
5Dream2Real6-DoF13.5—Unverified