Yiping Yang

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About

Dr. Yiping Yang is a leading researcher in autonomous robotics, specializing in locomotion control and intelligent navigation for complex, unstructured environments. Her work bridges computer vision and machine learning to enable robots—from quadrupeds to aerial systems—to perceive and interact with their surroundings with unprecedented autonomy. A cornerstone of her research is the development of a stereo vision-based locomotion control system for quadruped robots, which allows them to adaptively cross obstacles without prior environmental knowledge—a foundational contribution cited over 17 times. She has also advanced real-time path planning for aerial robots in irregular terrains, integrating image processing for dynamic navigation. More recently, Dr. Yang has applied machine learning to develop robot automatic inspection systems, reflecting a shift toward intelligent, vision-guided industrial automation. Her work is pivotal for field robotics, where adaptability and real-time decision-making are critical. With a career spanning foundational algorithms to applied inspection technologies, Dr. Yang’s research continues to shape the future of autonomous mobile robots operating in the wild.