Qiuming Zhang

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About

Qiuming Zhang’s research bridges the gap between robotic dexterity and human-centered interaction, with a focus on redundant robot manipulation and the social dynamics of autonomous systems in public spaces. His foundational work, “On task-based directional manipulability of redundant robot” (2000, 4 citations), introduced a framework for optimizing robot motion in constrained tasks, a key contribution to the field of robotic kinematics. More recently, Zhang has turned his attention to the challenges of urban robotics, exploring how bystanders engage with robots exhibiting uncertainty. His 2025 study, “Peek into the ‘White-Box’” (3 citations), reveals that involving humans in resolving robotic uncertainty can enhance trust and interaction quality in unpredictable public environments. Expanding into sociotechnical systems, Zhang’s work on “Attitudes Toward AI-powered Robots in Policing” (2025, 2 citations) examines how AI literacy and organizational justice shape police officers’ wellbeing and acceptance of robotic patrols in China. This timely research highlights the critical intersection of technology, policy, and human factors. Zhang’s career—from foundational robotics theory to cutting-edge human-robot interaction studies—demonstrates a sustained commitment to making autonomous systems more adaptable, transparent, and socially integrated.