Feng
Papers
1
Total Citations
12
H-Index
1
About
Feng’s research centers on legged robotics, human-robot interaction, and autonomous navigation in complex terrains. Their most influential work introduces two novel human-tracking strategies—view-priority and distance-priority—specifically designed for six-legged rescue robots. While most tracking methods target wheeled or tracked platforms, Feng’s strategies enable legged robots to maintain continuous visual contact with a human operator across uneven, obstacle-filled environments. The view-priority strategy focuses on keeping the person centered in the robot’s field of view, while the distance-priority strategy prioritizes maintaining an optimal following distance. To rigorously evaluate these approaches, Feng defined two novel performance indices: average tracking level and minimal tracking capability. Their comparative analysis demonstrated that the view-priority strategy offers superior overall performance. This work, published in 2016 and garnering 12 citations, represents a foundational step toward deploying legged robots in real-world search-and-rescue missions, where reliable human following is critical. Feng’s contributions bridge a key gap in mobile robotics, offering practical solutions for service robots and human-robot collaboration in challenging settings.
Research Focus
Key Achievements
Top Papers
- 1