Lightning Grasp: Real-time robot grips with Contact Fields

Kari Jaaskelainen

11 Nov 2025 — 1 min read

Lightning Grasp: faster robot gripping

Finding a good grip on everyday, irregular tools is still hard for robot hands. Lightning Grasp changes that: it generates diverse, realistic grasps in real time—without training data, delicate parameter tuning, or lucky starting guesses.

The trick is a simple Contact Field: a lightweight map of where a hand can safely touch an object. By separating this geometric prep from the search, the system collapses complexity and finds strong grasps at unprecedented speeds.

Works on irregular, tool-like shapes
Unsupervised grasp generation
Procedural, high-performance search
Open-source for the community

Orders-of-magnitude faster than the state of the art.

Authors: Zhao-Heng Yin and Pieter Abbeel. Paper: http://arxiv.org/abs/2511.07418v1

Paper: http://arxiv.org/abs/2511.07418v1

Register: https://www.AiFeta.com

#Robotics #AI #Grasping #DexterousHands #ComputerGraphics #RobotLearning #OpenSource

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