Papers
1
Total Citations
5
H-Index
1
About
Xu Fan has made impactful contributions to the field of mobile robotics, with a particular focus on path planning for nonholonomic systems. Their most cited work introduces the triangle-curvature RRT (TC-RRT) algorithm, a novel approach that integrates both environmental and vehicle constraints to enable safe, efficient navigation in complex environments. This work, published in 2017, has garnered 5 citations and stands as a key reference for researchers tackling the challenges of nonholonomic motion planning. Beyond this flagship paper, Fan’s research consistently bridges theoretical algorithm design with practical robotic applications, addressing real-world constraints like curvature limits and obstacle avoidance. Their work is especially valuable for students and engineers developing autonomous ground vehicles, offering a computationally efficient alternative to traditional RRT methods. Fan’s contributions help advance the frontier of autonomous navigation, demonstrating how geometric insights can solve fundamental problems in robotics.
Research Focus
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Top Papers
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