Zexu Zhang
Papers
6
Total Citations
64
H-Index
4
About
Zexu Zhang is a pioneering researcher at the intersection of multi-robot systems, cooperative localization, and smart materials. His work fundamentally addresses how teams of robots can actively provide positioning services in GNSS-limited environments—a critical challenge for autonomous systems operating indoors or in urban canyons. Zhang’s most influential contribution, “Distributed PDOP Coverage Control” (26 citations), introduces a gradient-based control method inspired by wireless sensor networks, enabling large-scale positioning coverage that scales with multi-robot system size. He further advances active cooperative localization through probabilistic network topology prediction, developing algorithms that allow robots to anticipate future connectivity and plan optimal trajectories for improved localization accuracy. Beyond traditional robotics, Zhang explores cutting-edge applications in 4D printing, demonstrated by his 2025 work on multi-field coupled dynamic modeling of hard-magnetic beams for a biomimetic jellyfish robot (23 citations). This research combines stimulus-responsive materials with 3D printing to create self-sensing, load-carrying smart components. Zhang’s work bridges theoretical control with practical deployment, offering scalable solutions for multi-robot coordination and adaptive structures that respond to environmental stimuli.
Research Focus
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Top Papers
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- 64D Printing Self-Sensing and Load-Carrying Smart Components2 citations · 2024