Yali Fan
Papers
1
Total Citations
11
H-Index
1
About
Yali Fan is a rising researcher in the field of collaborative robotics, with a focus on safe human-robot interaction and multi-robot cooperation. Their most-cited work, “Safe Human Dual-Robot Interaction Based on Control Barrier Functions and Cooperation Functions” (2024, 11 citations), introduces a novel framework that ensures human safety in environments where humans work alongside teams of two robots. By integrating control barrier functions with cooperation functions, Fan’s approach enables each robot to react compliantly to human presence while maintaining coordinated task execution—a critical advancement for industrial and service settings where dual-robot teams are increasingly common. This work addresses the challenge of human-in-the-loop control, allowing robots to dynamically adjust their motions without compromising collaborative efficiency. Though early in their career, Fan’s contributions are already shaping safer, more intuitive human-robot collaboration. Their research holds promise for applications in manufacturing, healthcare, and domestic assistance, where seamless and secure human-robot teamwork is essential.
Research Focus
Key Achievements
Top Papers
- 1