Papers
17
Total Citations
203
H-Index
7
About
Shouyan Chen is a pioneering roboticist whose research centers on intelligent force control, adaptive manipulation, and innovative locomotion systems for robots operating in complex, real-world environments. Chen’s most significant contributions lie in developing advanced control algorithms that enable robots to maintain precise, constant contact forces during critical tasks such as machining, grinding, and even therapeutic massage. By integrating fuzzy neural networks, reinforcement learning, and particle swarm optimization, Chen has solved persistent challenges in trajectory tracking and vibration suppression, dramatically improving robotic precision in industrial settings. With over 180 citations across their top-cited works, Chen’s impact is evident. Their 2024 study on an origami-wheeled robot, which achieves variable width and enhanced sand-walking versatility, represents a breakthrough in soft robotics for unstructured terrains, while their 2025 work on friction feedforward LQR control advances the stability of bipedal wheel-legged robots. Chen’s research not only pushes the boundaries of robotic dexterity and mobility but also directly translates into practical solutions for manufacturing, healthcare, and exploration.
Research Focus
Key Achievements
Top Papers
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- 6Fuzzy-Sliding Mode Force Control Research on Robotic Machining14 citations · 2017
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