INR-DOM reconstructs a complete implicit surface of elastic bands from partial point clouds and fine-tunes the representation with contrastive RL, achieving up to 89 percent simulated and 90 percent real-world manipulation success.
Bench- marking the sim-to-real gap in cloth manipulation.IEEE Robotics and Automation Letters (RA-L), 9(8):2981–2988, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations
INR-DOM reconstructs a complete implicit surface of elastic bands from partial point clouds and fine-tunes the representation with contrastive RL, achieving up to 89 percent simulated and 90 percent real-world manipulation success.