Xiang Tao

Chinese Academy of Sciences, Hefei Institutes of Physical Science

Papers

Total Citations

245

H-Index

About

Xiang Tao is a pioneering researcher in autonomous vehicle control and mobile robotics, whose work has fundamentally advanced the integration of intelligent navigation and motion stability. His most influential contribution, the 2012 paper "Design of a Control System for an Autonomous Vehicle Based on Adaptive-PID," has garnered 212 citations and introduced the "Intelligent Pioneer" vehicle architecture, establishing a benchmark for path tracking and dynamic stability in self-driving systems. Tao's research spans simultaneous localization and mapping (SLAM), where his 2013 work on LiDAR scan matching EKF-SLAM using differential vehicle models (31 citations) provided critical improvements to robot positioning and environmental mapping. More recently, he has addressed complex terrain challenges with his 2021 design of a novel six-tracked robot, featuring six independently driven tracks for enhanced passability in unstructured environments. Tao's contributions bridge theoretical control algorithms with practical robotic applications, making him a key figure in advancing autonomous mobility. His work continues to inspire new generations of researchers in intelligent transportation and field robotics.