Feiyang Zhao
Papers
1
Total Citations
7
H-Index
1
About
Dr. Feiyang Zhao is a leading researcher in autonomous mobile robotics, with a primary focus on risk-aware path planning and human-robot interaction. Their most-cited work, "Risk-Aware Path Planning with Uncertain Human Interactions" (2021, 7 citations), addresses a critical gap in factory automation: how to navigate autonomous mobile robots (AMRs) safely when human behavior is unpredictable. Rather than assuming fully autonomous, human-free environments, Zhao’s research introduces probabilistic models that quantify collision risks, enabling robots to make real-time decisions that balance efficiency with safety. This contribution is foundational for next-generation intelligent manufacturing systems, where robots must coexist with human workers. Zhao’s work has been recognized for bridging theoretical planning algorithms with practical industrial constraints, earning citations from both robotics and manufacturing communities. By tackling the uncertainty of human interactions head-on, Zhao is helping to shape a future where AMRs can operate robustly in dynamic, shared spaces—a key step toward truly collaborative automation.
Research Focus
Key Achievements
Top Papers
- 1Risk-Aware Path Planning with Uncertain Human Interactions7 citations · 2021