Papers
13
Total Citations
241
H-Index
6
About
Li He is a robotics researcher whose work bridges the critical gap between computer vision and autonomous systems, with a particular focus on swarm intelligence, visual perception, and robot locomotion. His most influential contribution, "Swarm Robotics Control and Communications: Imminent Challenges for Next Generation Smart Logistics" (135 citations), has helped define the research agenda for deploying multi-robot systems in warehouse automation and logistics. He has made substantial contributions to visual tracking and keypoint matching for robotic applications, developing lightweight transformer-based trackers like LiteTrack (2024) and conducting systematic comparisons of CNN-based versus hand-crafted descriptors for SLAM systems. His work on biped climbing robots, including transition analysis for truss navigation, demonstrates his versatility in addressing both perception and mechanical challenges in robotics. More recently, He has tackled the practical problem of person re-identification for robot following using online continual learning, enabling robots to maintain persistent tracking of individuals in dynamic environments. His research on condition-invariant visual place recognition and multi-sensor fusion localization has further strengthened the reliability of autonomous navigation systems. With over 230 total citations across his publications, He continues to advance the state of the art in making robots more perceptive, efficient, and capable of operating in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Comparison of CNN-Based and Hand-Crafted Keypoint Descriptors24 citations · 2019
- 4
- 5
- 6Keypoint Description by Descriptor Fusion Using Autoencoders6 citations · 2020
- 7
- 8
- 9Kinematic Modeling, Analysis, and Verification of an Essboard-Like Robot5 citations · 2020
- 10Multi-Sensor Fusion Localization of Indoor Mobile Robot4 citations · 2019