Papers
2
Total Citations
163
H-Index
2
About
Dr. Li Jian-hua is a pioneering roboticist whose work bridges tactile perception, deep learning, and bio-inspired multi-agent systems. His research focuses on enabling robots to achieve human-like dexterity through advanced sensory integration and adaptive cooperation. Dr. Li’s most influential contribution is his 2018 study on slip detection, which fuses tactile data from a GelSight sensor with visual input via a deep neural network. This work, garnering 155 citations, directly addresses a fundamental challenge in robotic manipulation—allowing grippers to sense and prevent object slippage in real time. Earlier in his career, Dr. Li explored artificial immune systems for multi-robot coordination, proposing a novel cooperation model inspired by immune response and antibody interaction. Though his 2007 paper on this topic has 8 citations, it laid conceptual groundwork for decentralized, fault-tolerant robot teams. By combining cutting-edge deep learning with biologically plausible control architectures, Dr. Li has advanced both the practical reliability of robotic hands and the theoretical foundations of swarm robotics. His research remains essential reading for engineers developing robust, sensor-rich manipulation systems and autonomous robot collectives.
Research Focus
Key Achievements
Top Papers
- 1Slip Detection with Combined Tactile and Visual Information155 citations · 2018
- 2An Immunology-based Cooperation Approach for Autonomous Robots8 citations · 2007