Jiyang Yu
Papers
2
Total Citations
12
H-Index
2
About
Jiyang Yu is a robotics researcher whose work focuses on advancing autonomous navigation and manipulation in complex, unstructured environments. His key research areas include global path planning for autonomous robots and contact-rich robotic assembly, with a particular emphasis on improving efficiency and adaptability in challenging settings such as lunar exploration. Yu’s major contribution is the development of the Progressive Rapidly-exploring Random Tree (P-RRT) algorithm, which significantly enhances the convergence rate and path quality of traditional RRT methods for global path planning. This work, published in 2023, has already garnered 7 citations, reflecting its relevance to the field. Additionally, Yu explores the learning of latent causal factors from intricate sensor feedback in contact-rich assembly tasks, a 2024 study with 5 citations that addresses the critical challenge of robotic manipulation in uncertain environments. His research bridges the gap between theoretical planning algorithms and practical robotic applications, making him a promising figure in autonomous robotics. Yu’s work is particularly notable for its potential impact on space robotics and industrial automation, where reliable and efficient path planning is essential.
Research Focus
Key Achievements
Top Papers
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- 2