Zhiqiang Zhen

National University of Defense Technology

Papers

Total Citations

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About

Zhiqiang Zhen is a pioneering researcher in robotics and human-machine interaction, with a focus on advancing multi-robot systems and intelligent control. His work bridges the gap between human cognitive input and autonomous robotic coordination, particularly through brain-computer interfaces (BCIs). In his highly cited 2021 paper, "Shared Control Based on a Brain-Computer Interface for Human-Multirobot Cooperation," Zhen introduced a novel framework that allows humans to intuitively guide distributed multi-robot systems (MRSs) in complex environments, overcoming challenges like sensor errors and communication delays. This work, garnering 16 citations, demonstrates his impact on enhancing cooperative robot behavior through shared control. Earlier, in 2002, he proposed a groundbreaking method for robot manipulators in "The position/force control with self-adjusting select-matrix," which uses force feedback to dynamically adjust control strategies for compliant motion tasks—a contribution that earned 9 citations and remains influential in force control research. Zhen’s achievements reflect a career dedicated to making robots more adaptive and collaborative, with applications ranging from industrial automation to assistive technologies. His work continues to inspire students and researchers exploring the frontiers of human-robot interaction and intelligent systems.