Wenxi Wu

Papers

Total Citations

H-Index

About

Wenxi Wu is a leading researcher in safe and secure robot motion planning, with a focus on enabling collaborative robots to operate effectively alongside humans. Their work bridges the critical gap between theoretical safety guarantees and real-world performance, addressing the fundamental challenge of generating time-efficient trajectories that are provably safe. Wu’s highly cited 2023 paper, “S*: On Safe and Time Efficient Robot Motion Planning” (11 citations), introduced a novel algorithm that achieves this balance, a cornerstone contribution for human-robot interaction. Expanding on this, their 2022 work on “Coordinate Invariant User-Guided Constrained Path Planning” (14 citations) developed the Reactive Rapidly Expanding Plane-Oriented Escaping Trees method, allowing for intuitive human guidance of robots while maintaining reactive safety in dynamic environments. Most recently, Wu has pioneered the critical field of robotic cybersecurity, as evidenced by their 2024 paper “Characterizing Physical Adversarial Attacks on Robot Motion Planners” (5 citations), which systematically exposes vulnerabilities in motion planning algorithms to physical attacks. This forward-looking work is essential for the secure deployment of autonomous systems. With a growing citation impact, Wenxi Wu is shaping the future of safe, efficient, and secure robot autonomy.