Max Robotics — Global Service Robot Directory + US Certification

About

Haiwei Gu is a leading researcher in dexterous robotic manipulation, focusing on the critical challenge of enabling robot hands to perceive and interact with unknown objects. His work bridges the gap between haptic exploration and adaptive grasping, developing intelligent strategies that allow multi-fingered robot hands to handle objects despite pose uncertainty. Gu’s most influential paper (30 citations) introduces an adaptive grasping strategy that uses finger state functions to maintain stable grasps even when an object’s position is not precisely known—a fundamental problem in real-world robotics. He has also pioneered methods for haptic perception, proposing exploration strategies inspired by human touch (13 citations), and optimizing grasp configurations based on tactile feedback (11 citations). His innovative approach to model recovery from discrete tactile points (4 citations) demonstrates how robots can reconstruct unknown object shapes from sparse touch data. Gu’s integrated framework—combining exploration, recognition, and adaptive grasping—represents a significant step toward truly autonomous robotic manipulation, with direct applications in manufacturing, prosthetics, and service robotics.