Lianqiang Han
Papers
13
Total Citations
126
H-Index
7
About
Lianqiang Han is a leading researcher in the field of bipedal and wheel-legged humanoid robotics, specializing in dynamic locomotion, balance control, and autonomous navigation. His work bridges the gap between theoretical motion planning and real-world deployment on rough and uneven terrains. Han’s most cited paper, “Compliant Motion Control of Wheel-Legged Humanoid Robot on Rough Terrains” (2023, 27 citations), introduces a novel control framework that combines the terrain adaptability of humanoid robots with the efficiency of wheeled platforms. His earlier work, “System Design and Balance Control of a Novel Electrically-driven Wheel-legged Humanoid Robot” (2021, 21 citations), established foundational principles for hybrid locomotion systems. Han has also made significant contributions to gait planning, including a heuristic template approach for biped robots (2022, 16 citations) and trajectory-free dynamic locomotion using key trend states (2022, 9 citations). His research on autonomous navigation with human observation (2021, 9 citations) and global footstep planning (2023, 8 citations) demonstrates a commitment to creating robots that can operate safely alongside humans. With over 100 total citations and recent work on LiDAR-inertial-kinematic odometry (LIKO, 2024), Han continues to push the boundaries of state estimation and motion control for underactuated robots.
Research Focus
Key Achievements
Top Papers
- 1Compliant Motion Control of Wheel-Legged Humanoid Robot on Rough Terrains27 citations · 2023
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- 5Autonomous Navigation with Human Observation for a Biped Robot9 citations · 2021
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- 10LIKO: LiDAR, Inertial, and Kinematic Odometry for Bipedal Robots6 citations · 2024