Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
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Abstract (arXiv)
Despite years of research, real-time diverse grasp synthesis for dexterous hands remains an unsolved core challenge in robotics and computer graphics. We present Lightning Grasp, a novel high-performance procedural grasp synthesis algorithm that achieves orders-of-magnitude speedups over state-of-the-art approaches, while enabling unsupervised grasp generation for irregular, tool-like objects. The method avoids many limitations of prior approaches, such as the need for carefully tuned energy functions and sensitive initialization. This breakthrough is driven by a key insight: decoupling complex geometric computation from the search process via a simple, efficient data structure - the Contact Field. This abstraction collapses the problem complexity, enabling a procedural search at unprecedented speeds. We open-source our system to propel further innovation in robotic manipulation.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 22 references that are in the map. First posted on arXiv 10 Nov 2025.
Builds on
16 of 22 references.
References · 16
- 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
- 2022DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulationcited by 129
- 2013Data-Driven Grasp Synthesis - A Surveycited by 104
- 2023LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learningcited by 78
- 2019ROBEL: Robotics Benchmarks for Learning with Low-Cost Robotscited by 70
- 2021Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimatorcited by 70
- 2024DexDiffuser: Generating Dexterous Grasps with Diffusion Modelscited by 46
- 2024DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-scale Synthetic Cluttered Scenescited by 41
- 2024Twisting Lids Off with Two Handscited by 36
- 2025DexterityGen: Foundation Controller for Unprecedented Dexteritycited by 26
- 2023Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulationcited by 20
- 2025Dexonomy: Synthesizing All Dexterous Grasp Types in a Grasp Taxonomycited by 19
4 more
- 2024BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimizationcited by 18
- 2023Synthesize Dexterous Nonprehensile Pregrasp for Ungraspable Objectscited by 10
- 2024SpringGrasp: Synthesizing Compliant, Dexterous Grasps under Shape Uncertaintycited by 7
- 2025Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generationcited by 3
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Citing papers per year: 2026: 2.
2 papers.