Papers

3

Total Citations

25

H-Index

3

About

Jie Leng is a robotics researcher whose work focuses on the design, modeling, and control of legged and wheeled mobile robots, with a particular emphasis on bipedal locomotion and novel wheel mechanisms. His major contributions include the development of M-A3C, a mean-asynchronous advantage actor-critic reinforcement learning method that enables real-time gait planning for biped robots, addressing the fundamental challenge of dynamic walking in humanoid robotics. He also designed the LZ-1 mobile robot, which uses innovative flexible spoked mecanum (FSM) wheels to achieve multi-motion capabilities across varied terrains. Additionally, Leng created L03, an underactuated 3D bipedal robot with a symmetrical hip and straight-legged design that requires only five actuators—a minimalist approach to bipedal walking. His most cited work, on M-A3C, has garnered 14 citations, while his FSM wheel design has received 7 citations, demonstrating growing impact in the field. Leng’s work stands out for its practical, lightweight solutions that bridge simulation and real-world deployment, making him a notable contributor to the advancement of agile and adaptable robotic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
M-A3C: A Mean-Asynchronous Advantage Actor-Critic Reinforcement Learning Method for Real-Time Gait Planning of Biped Robot
14 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Shanghai for Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago