Papers
2
Total Citations
18
H-Index
2
About
Jue Yang is a leading researcher in mobile robotics, with a primary focus on terrain identification and autonomous control systems. Their work addresses a critical challenge in robotics: enabling robots to understand and adapt to varying ground conditions in real time. Yang’s major contributions include the development of an integrated terrain identification framework that fuses inertial and driving current signals to improve stability and accuracy in mobile robot navigation. This framework, detailed in their 2020 paper, has garnered 10 citations for its practical impact on autonomous control algorithm development. Additionally, Yang advanced the field with a learning-based approach to terrain identification using proprioceptive sensors, achieving precise driving torque prediction for tracked robots, as demonstrated in their 2020 study with 8 citations. This work is notable for its experimental validation under both straight-line and steady-state turning maneuvers, showcasing real-world applicability. Yang’s research is instrumental in enhancing robot adaptability in unstructured environments, making significant strides toward more intelligent and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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