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About

Tianxu Bao is a researcher at the intersection of human motion analysis, humanoid robotics, and legged locomotion, whose work bridges the gap between accessible sensing technologies and sophisticated robotic control. His most impactful contribution, "Analysis of Kinect-Based Human Motion Capture Accuracy Using Skeletal Cosine Similarity Metrics" (2025, 6 citations), provides a rigorous, previously overlooked evaluation of the Kinect sensor’s precision—a critical validation for its widespread use in rehabilitation therapy and robot control. This foundational work demonstrates his commitment to ensuring that low-cost, accessible tools can be reliably deployed in high-stakes real-world applications. In parallel, Bao has advanced the field of human-robot interaction through his work on real-time, stylized teleoperation, enabling human-level perception and motion control for simulated characters. His research also extends to mechanical design innovation, as seen in his novel differential-mechanism-based leg configuration for quadruped robots, which optimizes load balancing and dynamic contribution by relocating actuators to the torso. By combining rigorous accuracy analysis with practical hardware design, Bao is making human motion capture and robotic control more accessible, precise, and dynamically capable.