Fengtao Xiang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Fengtao Xiang is a researcher specializing in autonomous navigation and path planning for unmanned ground vehicles (UGVs), with a particular focus on goal-oriented control in complex, adversarial environments. His work addresses the critical challenge of enabling UGVs to operate effectively when their actions are observable by both cooperative and adversarial agents. In his most-cited paper, "Goal Control for UGV Path Planning in Complex Environment" (2019), Dr. Xiang proposes novel control strategies that allow UGVs to dynamically adjust their paths while accounting for the intentions and potential interference of other agents. This contribution is foundational for applications in military reconnaissance, search-and-rescue, and autonomous logistics, where vehicles must navigate unpredictable terrains and threats. Although his citation count is currently modest, his research represents an important step toward robust, real-world UGV autonomy. Dr. Xiang’s work is particularly valuable for students and engineers seeking to understand the intersection of control theory, multi-agent systems, and field robotics in high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 1Goal Control for UGV Path Planning in Complex Environment2 citations · 2019