Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
Zhao-Heng Yin, Pieter Abbeel

TL;DR
Lightning Grasp introduces a high-performance, procedural grasp synthesis algorithm that significantly accelerates grasp generation for irregular objects, overcoming previous limitations and enabling real-time applications in robotics and graphics.
Contribution
The paper presents Lightning Grasp, a novel method that decouples geometric computation from search using Contact Fields, achieving unprecedented speedups in grasp synthesis.
Findings
Achieves orders-of-magnitude speedup over existing methods
Enables real-time grasp synthesis for irregular, tool-like objects
Open-sourced system to foster further research
Abstract
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.
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Taxonomy
TopicsRobot Manipulation and Learning · Human Motion and Animation · Motor Control and Adaptation
