Quande Yuan

Changchun Institute of Technology, Harbin Institute of Technology

Papers

Total Citations

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About

Dr. Quande Yuan is a robotics researcher whose work focuses on multi-robot coordination, task allocation, and humanoid locomotion. His early research introduced innovative frameworks for multi-robot task allocation, combining the Contract Net Protocol (CNP) with neural networks to enable efficient, automated negotiation among robotic agents—a foundational contribution that has garnered 14 citations. This work addressed critical challenges in distributed robotic systems, allowing for more adaptive and intelligent task distribution. Dr. Yuan further advanced this field with a dedicated method for automated negotiation in multi-robot systems, accumulating 6 citations. More recently, he has applied dynamic multi-objective optimization to humanoid robotics, specifically addressing the complex trade-offs involved in controlling a robot’s stepping-downstairs motions. This 2020 study, with 4 citations, demonstrates how optimization techniques can solve multi-issue balancing problems in real-time robotic control. Dr. Yuan’s career reflects a sustained commitment to bridging theoretical optimization with practical robotic applications, from swarm coordination to bipedal stability, making his work relevant for researchers in autonomous systems, control theory, and humanoid engineering.