Xiangyin Zhang
Papers
11
Total Citations
79
H-Index
5
About
Xiangyin Zhang is a leading researcher in mobile robotics, specializing in intelligent navigation, human-robot interaction, and autonomous systems. His work bridges the gap between theoretical control algorithms and practical robotic applications, with a particular focus on service robots, wheelchair beds, and multi-robot formations. Zhang’s major contributions include the development of a novel obstacle avoidance algorithm for intelligent wheelchair beds using ultrasonic sensors and artificial potential fields, as well as a Levenberg-Marquardt-based artificial physics method to alleviate mobile robot oscillations. He has also advanced automatic docking and charging systems for service robots using laser measurement, and proposed a distributed model predictive control strategy with particle swarm optimization for collision-free trajectory tracking in mecanum-wheeled mobile robot formations. With over 60 citations across his top papers, Zhang’s impact is evident in his innovative approaches to multimodal human-robot interaction, monocular robot tracking via Siamese networks, and deep learning-based visual perception for security robots. His recent work on dynamic leadership mechanisms in pigeon flocks and drift rejection SLAM for indoor environments further demonstrates his versatility. Zhang’s research continues to shape the future of autonomous robotics, offering practical solutions for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Automatic Docking and Charging of Mobile Robot Based on Laser Measurement11 citations · 2021
- 4
- 5Multimodal Human-robot Interaction on Service Robot9 citations · 2021
- 6
- 7
- 8Dynamic Leadership Mechanism in Homing Pigeon Flocks4 citations · 2024
- 9
- 10SLDF: A semantic line detection framework for robot guidance3 citations · 2023