Zhenjie Liang

State Key Laboratory of Vehicle NVH and Safety Technology

Papers

Total Citations

H-Index

About

Zhenjie Liang is a robotics researcher focused on advancing legged locomotion for quadruped and hexapod robots. His work centers on key technologies for dynamic, low-cost robotic platforms, with notable contributions to direct-drive actuation and foot-terrain interaction estimation. Liang’s most cited paper, “The Moco-Minitaur: A Low-Cost Direct-Drive Quadruped Robot for Dynamic Locomotion” (2021), introduces an accessible platform for agile, high-performance locomotion research, accumulating 5 citations. His complementary study, “The Analysis of Key Technologies for Advanced Intelligent Quadruped Robots” (2019), also with 5 citations, surveys the integration of artificial intelligence in legged robots, drawing on advances from Boston Dynamics and ETH’s ANYmal to outline future directions. Additionally, Liang’s work on “Research on Foot Slippage Estimation of Insect Type Hexapod Robot” (2021) addresses a critical challenge in multi-legged robotics—accurate velocity and posture estimation amid sensor error and foot slippage—using data fusion methods. With a total of 12 citations across these papers, Liang’s research bridges practical hardware design and robust state estimation, offering valuable insights for students and researchers aiming to build affordable, intelligent legged robots capable of dynamic and adaptive locomotion in complex environments.