DEAL-Grasp: Decoupled Alignment Representation for Geometry-Aware Dexterous Grasp Generation
cs.RO, cs.GR
Submitted: 2026-09-23
Updated: 2026-09-23
Code: https://github.com/haosulab/MPlib
Project page: https://wmtlab.github.io/DEAL-Grasp
Terminology
Sources
- The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey
- Flow Matching for Generative Modeling
- RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
- Decoupled Weight Decay Regularization
- Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
- ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
- $\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
- Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization
- Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
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