Zhuo Chen
Papers
1
Total Citations
19
H-Index
1
About
Zhuo Chen is a leading researcher in human-robot interaction (HRI), with a particular focus on robot navigation in crowded pedestrian environments. Chen’s most cited work, “Pedestrian-Robot Interaction Experiments in an Exit Corridor” (2018, 19 citations), provides foundational empirical insights into how mobile robots can safely and effectively navigate through human crowds. By deploying a robot moving perpendicular to pedestrian flow in a uni-directional exit corridor, Chen’s experiments revealed critical dynamics of pedestrian-robot interaction, including how people adjust their trajectories and respond to robot motion. This work has been instrumental in advancing the design of socially aware navigation algorithms, helping robots predict and adapt to human behavior in real-time. Chen’s contributions are particularly valuable for applications in autonomous delivery, service robotics, and emergency evacuation scenarios. With a growing citation impact, Chen continues to shape the field of HRI by bridging experimental observation with practical robot navigation strategies, making their research essential reading for students and engineers working on autonomous systems in human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1Pedestrian-Robot Interaction Experiments in an Exit Corridor19 citations · 2018