Xiaohe Wu
Papers
3
Total Citations
27
H-Index
3
About
Xiaohe Wu is a leading researcher in autonomous robotics, with a primary focus on intelligent navigation, adaptive control, and the educational development of robotic systems. Dr. Wu’s most impactful contribution addresses the challenge of autonomous exploration in unknown environments. Their seminal 2019 work, cited 15 times, pioneered the use of reinforcement learning to enable mobile robots to navigate and avoid collisions without relying on spatial maps, instead using raw sensor data to develop adaptive exploration skills. This approach represents a significant shift toward more robust, real-world robotic autonomy. Dr. Wu has also made substantial contributions to control theory, developing neural network-based adaptive tracking control for complex nonholonomic mechanical systems—a key problem in mobile robotics. Beyond research, Dr. Wu has demonstrated a deep commitment to education, having developed and implemented a pioneering, multidisciplinary curriculum on the planning and cooperative control of autonomous mobile robots at the University of Central Florida. This work bridges the gap between cutting-edge research and the next generation of roboticists, solidifying Dr. Wu’s role as both an innovator and an educator in the field.
Research Focus
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Top Papers
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