SOTAVerified

Object Rearrangement

Papers

Showing 5163 of 63 papers

TitleStatusHype
Sequential Manipulation Planning on Scene GraphCode1
0/1 Deep Neural Networks via Block Coordinate Descent0
Lazy Rearrangement Planning in Confined SpacesCode1
ReorientBot: Learning Object Reorientation for Specific-Posed PlacementCode1
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement0
Semantically Grounded Object Matching for Robust Robotic Scene RearrangementCode0
Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined SpacesCode1
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree SearchCode1
NeRP: Neural Rearrangement Planning for Unknown Objects0
Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed SearchCode1
Object Rearrangement Using Learned Implicit Collision FunctionsCode1
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