Tao Xiao

Beijing Institute of Technology, Carnegie Mellon University

Papers

Total Citations

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About

Tao Xiao is a pioneering researcher in humanoid robotics, with a focus on teleoperation systems, motion planning, and dynamic manipulation. His work centers on enabling humanoid robots to perform complex, real-world tasks through advanced control and simulation interfaces. Xiao’s most notable contribution is the development of a visual teleoperation system for the BHR-02 humanoid robot, which reconstructs virtual scenes to overcome poor video feedback—a critical advancement for remote operation in low-visibility environments. This work, his most cited with 17 citations, laid the foundation for intuitive robot control. He further expanded the BHR-02’s capabilities by designing motion planning algorithms for stepping on and off obstacles, and analyzing pushing manipulation during dynamic walking, such as pushing a handcart. These studies, with 7 and 5 citations respectively, demonstrate his ability to integrate locomotion with object interaction. Xiao also developed a simulation and monitoring system that provides visual instruction prediction, aiding operator training and complex task execution. His research has significantly advanced the practicality of humanoid robots in unstructured environments, making him a key figure in the field.