Yuxuan Zhu

Shanghai Jiao Tong University, Tianjin University of Science and Technology

Papers

Total Citations

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About

Yuxuan Zhu’s research lies at the intersection of robotics, control systems, and autonomous navigation, with a particular focus on enabling intelligent locomotion in complex environments. His most cited work, “Constrained Model Predictive Control for a Hexapod Robot Walking on Irregular Terrain” (2018, 22 citations), introduces a sophisticated control framework that allows multi-legged robots to dynamically adapt to uneven surfaces, advancing the field of legged locomotion and real-time motion planning. This contribution is foundational for applications in search-and-rescue, exploration, and field robotics. Zhu also explores the design of compact autonomous systems, as demonstrated in “A Design of Micromouse Based on ARM” (2022), where he integrates sensor-driven control and embedded systems to create a self-operating robot capable of solving mazes. This work highlights the broader relevance of micromouse technologies to smart automation and autonomous navigation in constrained spaces. With a growing citation impact and a focus on practical, deployable robotic solutions, Zhu’s research bridges theoretical control methods with real-world robotic applications, offering valuable insights for students and researchers in robotics, mechatronics, and intelligent systems.