Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
Yin, Zhao-Heng, Abbeel, Pieter
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Nov-11-2025
- Genre:
- Research Report > Promising Solution (0.34)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning > Search (0.93)
- Robots (1.00)
- Information Technology > Artificial Intelligence