Papers
6
Total Citations
58
H-Index
4
About
Xiang Meng is a leading researcher in the field of bipedal and humanoid robotics, with a primary focus on locomotion control, motion generation, and vision systems. His work addresses fundamental challenges in enabling robots to walk and run with human-like efficiency and stability, particularly on complex, non-flat terrains. Meng’s major contributions include the development of an online running-gait generator for bipedal robots that achieves smooth state switching and accurate speed tracking (2023, 14 citations), and an adaptive motion generation framework for humanoid locomotion on uneven ground via template behavior extension (2023, 11 citations). He has also advanced knee-stretched walking with toe-off and heel-strike using model predictive control (2021, 7 citations), and proposed a 3D reconstruction system combining binocular and depth cameras for mobile robots (2017, 19 citations). His work on walking control based on the Spring-Loaded Inverted Pendulum (SLIP) model (2019, 4 citations) further underscores his impact on stable bipedal locomotion. With over 58 total citations, Xiang Meng’s research is pivotal for the next generation of agile, adaptive humanoid robots capable of operating in human-centric environments.
Research Focus
Key Achievements
Top Papers
- 1Vision System of Mobile Robot Combining Binocular and Depth Cameras19 citations · 2017
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- 5Walking Control of Biped Robots on Uneven Terrains Based on SLIP Model4 citations · 2019
- 6Adaptive velocity planning for 6-DOF Robots with fixed tracks3 citations · 2016