Yuan Yang
Papers
12
Total Citations
152
H-Index
7
About
Yuan Yang’s research lies at the intersection of robotics, sensor fusion, and indoor positioning, with a focus on enabling autonomous systems to navigate and operate reliably in complex, GPS-denied environments. His major contributions include developing robust localization algorithms, such as a tightly coupled LiDAR/IMU/UWB fusion framework for quadruped robots and a geometric Bayesian filter for indoor tracking under mixed line-of-sight conditions. He has also advanced wearable robotics through the design of a kinetic energy harvester for Bowden-cable-actuated exoskeletons and a learning-based controller to mitigate frictional hysteresis. In computer vision, Yang proposed a robust solution to the perspective-n-point problem for camera pose estimation, aiding robot relocalization. His work on indoor CO2 monitoring integrates SLAM with mobile sensing for source position estimation. With over 140 citations across his top papers, Yang’s impact is evident in both theoretical and applied domains. Notably, his quadruped robot design paper (26 citations) demonstrates a complete pipeline from bionic structure to simulation and implementation, while his 2024 fusion paper reflects ongoing innovation in resilient robot positioning.
Research Focus
Key Achievements
Top Papers
- 1
- 2Structural Design, Simulation and Experiment of Quadruped Robot26 citations · 2021
- 3Robust improvement solution to perspective-n-point problem20 citations · 2019
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- 5Experimental evaluation of indoor localization algorithms11 citations · 2014
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