Papers
10
Total Citations
174
H-Index
7
About
Yueyang Li is a multidisciplinary researcher whose work bridges robotics, control systems, and computational imaging. His research spans three primary domains: legged and wheeled robot locomotion and control, robot localization and navigation, and computational optics — a breadth that reflects both his technical versatility and ambition to solve real-world engineering challenges. Among his most influential contributions is his work on end-to-end computational optics, where he demonstrated that a simple singlet lens, combined with intelligent algorithmic design, could achieve large depth-of-field imaging without the complexity of traditional optical systems — a paper that has garnered 50 citations and holds significant promise for robotics vision and bio-imaging applications. His 2019 work on INS/LiDAR-based indoor robot localization, employing cascaded FIR filtering for improved robustness, has attracted 45 citations and represents a meaningful advance in navigation reliability. Li has also made notable contributions to legged robot dynamics, addressing challenges in hydraulic actuation, whole-body control, and model predictive control under real-world disturbances. His 2024 work extends these efforts into observer-based frameworks and quadruped manipulation tasks. Collectively, his publications demonstrate a consistent commitment to bridging theoretical rigor with practical robotic systems, making his work highly relevant to researchers in autonomous systems and intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 5Active compliance control of the hydraulic actuated leg prototype11 citations · 2017
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- 8A Review on Fault-Tolerant Control for Robots7 citations · 2020
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- 10Robust Laser Radar-Based Robot Localization Using UFIR Filtering2 citations · 2018