Papers
7
Total Citations
106
H-Index
6
About
Lei Feng is an emerging robotics researcher whose work sits at the intersection of soft robotics, intelligent control, and autonomous locomotion. His research focuses on the design, fabrication, and optimization of soft actuators and quadruped robotic systems, with a particular emphasis on bridging the gap between compliant material engineering and advanced control strategies. Feng's most influential contribution, "Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning" (2022, 45 citations), demonstrates his pioneering approach to combining tendon-driven soft legs with machine learning to achieve robust locomotion across complex terrains — a significant departure from conventional rigid-body robotics. His complementary work on 3D-printed soft actuators and custom deformation sensors reflects a holistic design philosophy, addressing fabrication accessibility alongside closed-loop control precision. Beyond hardware, Feng has explored data-efficient optimization through multi-fidelity Bayesian methods and contributed a comprehensive survey on design optimization for compliant robots, offering the broader community a valuable roadmap of the field. His 4D printing research further signals an interest in smart manufacturing applications. With over 100 cumulative citations, Feng is establishing himself as a thoughtful and versatile contributor to the rapidly evolving soft robotics landscape.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design and closed loop control of a 3D printed soft actuator17 citations · 2020
- 3
- 4A soft quadruped robot enabled by continuum actuators11 citations · 2021
- 5
- 6
- 7A Flexible 4D Printing Service Platform for Smart Manufacturing2 citations · 2020