SOTAVerified

Object Rearrangement

Papers

Showing 5163 of 63 papers

TitleStatusHype
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments0
Phone2Proc: Bringing Robust Robots Into Our Chaotic World0
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning0
Hypergraph-based Multi-Robot Task and Motion Planning0
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene0
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification0
Toward Efficient Task Planning for Dual-Arm Tabletop Object Rearrangement0
0/1 Deep Neural Networks via Block Coordinate Descent0
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement0
Semantically Grounded Object Matching for Robust Robotic Scene RearrangementCode0
NeRP: Neural Rearrangement Planning for Unknown Objects0
Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality0
Language as an Abstraction for Hierarchical Deep Reinforcement LearningCode0
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Benchmark Results

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