Jingyang Yu
Papers
1
Total Citations
11
H-Index
1
About
Jingyang Yu is a robotics researcher whose work centers on enhancing robot mobility in complex, unstructured environments. His key contributions lie in the design and control of novel locomotion systems, particularly omnidirectional deformable wheeled robots. Yu’s most cited work, "Practical Obstacle-Overcoming Robot with a Heterogeneous Sensing System: Design and Experiments" (2022, 11 citations), addresses the fundamental challenge of balancing agile motion in structured settings like factories with robust obstacle traversal in rough terrain. He introduced a groundbreaking robot structure that integrates a heterogeneous sensing system—combining multiple sensor types—to enable real-time environmental perception and adaptive wheel deformation. This innovation allows the robot to seamlessly transition between flat surfaces and obstacles, significantly expanding its operational domain. Yu’s research is notable for its practical, experimental validation, bridging the gap between theoretical design and real-world deployment. His work has direct implications for search-and-rescue, industrial inspection, and autonomous logistics, positioning him as a rising figure in field robotics and adaptive locomotion.
Research Focus
Key Achievements
Top Papers
- 1