Shiyu Feng
Papers
8
Total Citations
62
H-Index
5
About
Shiyu Feng is a robotics researcher whose work centers on autonomous navigation, particularly for nonholonomic and legged robots operating in unknown, cluttered environments. Their key contributions lie in developing vision-based, gap-informed local planning methods that bridge reactive control with hierarchical navigation frameworks. Feng introduced the "Potential Gap" concept (2021, 15 citations), which integrates gap-based navigation with artificial potential fields to create a safer, more reliable local planner. This work was extended in "Safer Gap" (2023–2024), which provides formal safety guarantees for nonholonomic robots at all levels of the planning hierarchy. Feng also pioneered an image-based visual servoing system for trajectory tracking without absolute positioning (2022, 9 citations), enabling robots to navigate unknown environments using only stereo vision. Their research has been applied to quadrupedal robots through the GPF-BG framework (2023, 8 citations) and to snake robots using rectilinear gait motion (2019, 6 citations). With over 60 total citations across their most-cited papers, Feng's work is shaping the next generation of safe, vision-driven autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Egocentric Navigation Using 3D Sensing17 citations · 2019
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- 6Ego-centric Stereo Navigation Using Stixel World4 citations · 2021
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