Xiucai Huang
Papers
6
Total Citations
33
H-Index
4
About
Xiucai Huang is a robotics and control systems researcher whose work spans autonomous mobile robotics, multi-agent coordination, and nonlinear control theory. His research primarily addresses the complex challenges of making robot teams operate reliably, safely, and efficiently in real-world conditions characterized by uncertainty, communication constraints, and hardware faults. Among his most significant contributions is his development of fault-tolerant formation control (FTFC) strategies for nonholonomic mobile robot fleets, enabling coordinated navigation even under unpredicted actuator failures while preserving connectivity and avoiding collisions — work that has garnered 14 citations since 2023. He has also made notable advances in reciprocal collision avoidance for non-holonomic robots, addressing the nuanced challenge of tuning both linear and angular velocities simultaneously. His work on distributed tracking control for networked Euler-Lagrange systems introduced approximator-free, low-complexity prescribed performance approaches applicable to multi-robot coordination under directed communication topologies. More recently, Huang has expanded into computer vision for robotics, developing PoseFusion, a multi-scale keypoint correspondence method for marker-free camera-to-robot pose estimation. Across these diverse contributions, his research consistently pushes toward more robust, practical, and deployable autonomous systems, establishing him as a versatile voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 2Generalized Reciprocal Collision Avoidance for Non-holonomic Robots7 citations · 2019
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