Papers
4
Total Citations
41
H-Index
4
About
Yan Feng is a robotics researcher whose work spans collaborative robotics, autonomous path planning, and human-robot interaction, with a particular focus on making robotic systems safer, smarter, and more practically applicable. His most cited contribution, "Vibration Suppression of Collaborative Robot Based on Modified Trajectory Planning" (2022, 18 citations), addresses a fundamental challenge in lightweight collaborative robots—reducing low-frequency resonance and residual vibration to improve operational accuracy and efficiency. Complementing this, his work on an improved A-star algorithm leveraging topological maps (2022, 13 citations) demonstrates a meaningful advancement in indoor mobile robot navigation, tackling the inefficiencies of traditional path planning in large-scale environments. More recently, Feng has turned his attention to robotic massage systems, proposing autonomous path planning with stable interaction control (2024, 6 citations) and an adaptive fuzzy impedance control framework grounded in Kelvin-Voigt biomechanical modeling (2024, 4 citations). Together, these contributions reflect a coherent research vision: bridging the gap between mechanical precision and human-centered robotics, positioning Feng as an emerging voice in intelligent robotic systems and safe human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4