Liangyu Wang
Papers
6
Total Citations
65
H-Index
3
About
Liangyu Wang is a robotics researcher whose work centers on advancing autonomous navigation and locomotion for legged robots, with a particular focus on lidar-based SLAM and novel robotic platforms. His most significant contribution is the development of FEVO-LOAM, a feature extraction and vertical optimized lidar odometry and mapping method that addresses the persistent challenge of vertical drift in traditional lidar SLAM systems, achieving 26 citations. Wang has also made notable strides in path planning, proposing an improved A* algorithm combined with model predictive control for hexapod robots, which has garnered 25 citations for its practical approach to autonomous navigation. Perhaps his most distinctive work is the design and control of a novel six-legged skating robot equipped with skateboards, enabling locomotion on ice and compact terrains—a creative fusion of bio-inspiration and engineering. This platform has been extended to skiing applications, with subsequent papers addressing obstacle avoidance in unknown snow environments. Wang’s research, spanning from foundational SLAM to innovative robot design, demonstrates a commitment to pushing the boundaries of robotic mobility, with his skating and skiing robots representing some of the first such systems in the field.
Research Focus
Key Achievements
Top Papers
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- 3Design and Control of a Novel Six-Legged Skating Robot With Skateboards6 citations · 2023
- 4A Deep Hierarchical Framework for Robot Global Localization3 citations · 2022
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