Papers
3
Total Citations
19
H-Index
3
About
Haoyu Tian is a robotics researcher whose work focuses on the safe and adaptive control of mobile robots in dynamic, human-centered environments. His research spans path planning, human-robot interaction, and trajectory tracking, with a particular emphasis on collision avoidance and human-following applications. Tian’s most cited work, “An Improved Artificial Potential Field Method for Path Planning of Mobile Robot with Subgoal Adaptive Selection” (2019, 8 citations), introduces a novel approach to overcoming local minima in potential field navigation, enhancing robot autonomy in complex spaces. He further advances human-robot collaboration in “Behavioral Dynamics-based Impedance Control for Collision Avoidance of Human-Following Robots” (2022, 8 citations), where he integrates human behavioral dynamics with impedance control to balance following stability, human comfort, and obstacle avoidance—a critical contribution to safe man-machine interaction. Additionally, his “Adaptive tracking control for WMRs with skidding and slipping: a double closed-loop strategy” (2019, 3 citations) addresses real-world traction challenges by developing a robust control framework for wheeled mobile robots under adverse conditions. Through these contributions, Tian demonstrates a consistent focus on practical, safety-critical robotics, making his work valuable for researchers developing autonomous systems that operate alongside humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3