Ruilei Zhang

Nanjing University of Science and Technology

Papers

Total Citations

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About

Ruilei Zhang is a robotics researcher whose work centers on multi-robot coordination, formation control, and autonomous navigation in complex environments. His research has made meaningful contributions to the challenge of coordinating multiple mobile robots, particularly nonholonomic and car-like systems that operate under real-world movement constraints. Zhang's most recognized contribution, "Dynamic Formation Control for Car-like Mobile Robots" (2013, 4 citations), introduced a dynamic coordinated control algorithm that leverages virtual robot constructs to enable precise trajectory tracking and formation maintenance among multiple robots. Complementing this, his 2014 study on hybrid dynamic formation control extended these principles to mixed teams of nonholonomic robots navigating three-dimensional terrain, demonstrating versatility across diverse operational conditions. His earlier work, "A Generalized Share Potential Fields Approach to Multi-Robot Coordination" (2011, 2 citations), addressed the fundamental problem of collision-free path planning in unknown dynamic environments, offering an efficient and scalable framework grounded in potential field theory. Across his body of work, Zhang has consistently tackled the intersection of control theory and practical robotics, providing algorithmic foundations that support safer, more adaptive multi-robot systems — research of growing relevance to autonomous vehicles, search-and-rescue operations, and collaborative robotic platforms.