Papers
1
Total Citations
16
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About
Dongsen Ye is a robotics researcher whose work centers on the structural optimization of humanoid robots, with a particular focus on achieving lightweight, energy-efficient designs for safer and more agile human-robot interaction. His most-cited paper, "The lightweight design of the humanoid robot frameworks based on evolutionary structural optimization" (2014, 16 citations), addresses a critical challenge in robotics: how to reduce the mass of large, heavy robot bodies without compromising structural integrity. By applying evolutionary structural optimization (ESO) methods, Ye developed an improved framework that enables robots to reconfigure their posture more conveniently while conserving operational energy—a key requirement for flexible, real-world deployment. This contribution has been cited by researchers working on robot morphology and design optimization, underscoring its relevance to the field. Ye’s work bridges mechanical engineering and artificial intelligence, offering practical solutions for building more capable and human-friendly robotic systems. His research continues to influence the development of next-generation humanoid platforms that are both robust and lightweight.
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