Papers
3
Total Citations
50
H-Index
3
About
Chao Xu is a robotics researcher whose work spans aerial autonomy, perception systems, and reconfigurable robotic platforms. His most impactful contribution, "FAST-Dynamic-Vision" (2021, 38 citations), addresses one of the most pressing challenges in UAV autonomy: the real-time detection and tracking of fast-moving objects. By fusing event-based sensing with depth perception, Xu and his collaborators pushed the boundaries of what aerial robots can perceive and react to in dynamic environments, a breakthrough with significant implications for drone safety and agile flight. His 2022 work on star-convex constrained optimization introduces an elegant mathematical framework for visibility-guaranteed motion planning, enabling robots to reliably maintain line-of-sight to targets during inspection and surveillance tasks — a practically vital capability often overlooked in trajectory planning research. More recently, Xu has expanded into ground robotics, contributing a novel reconfigurable tracked robot design that improves obstacle-crossing performance while maintaining a compact form factor. Across these diverse platforms, Xu demonstrates a consistent focus on bridging theoretical rigor with real-world robotic deployment, making him a versatile contributor to the broader field of autonomous systems.
Research Focus
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Top Papers
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