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Creators/Authors contains: "Mei, Yu"

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  1. ; (, ACM)
    Free, publicly-accessible full text available July 18, 2026
  2. ; ; ; ; (, Experimental Brain Research)
    Free, publicly-accessible full text available February 1, 2026
  3. ; ; ; ; (, IEEE/ASME Transactions on Mechatronics)
    Full Text Available 
  4. ; ; ; ; ; ; ; (, IEEE Robotics and Automation Letters)
    Full Text Available 
  5. ; ; ; ; ; ; (, IEEE/ASME Transactions on Mechatronics)
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  6. ; ; ; (, ASME Letters in Dynamic Systems and Control)
    Abstract The inherent low stiffness in soft robots makes them preferable for working in close proximity to humans. However, having this low stiffness creates challenges when operating in terms of control and sensitivity to disturbances. To alleviate this issue, soft robots often have built-in stiffness tuning mechanisms that allow for controlled increases in stiffness. Additionally, redundant pneumatic manipulators can utilize antagonistic pressure to achieve identical positions under increased stiffness. In this paper, we develop a model to predict the stiffness and configuration of a pneumatic soft manipulator under different pressure inputs and external forces. The model is developed based on the physical characteristics of a soft manipulator while enabling efficient parameter estimation and computation. The efficacy of the modeling approach is supported via experimental results. 
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  7. ; ; (, PEARC '23: Practice and Experience in Advanced Research Computing)
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  8. ; ; (, IEEE Control Systems Letters)
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  9. ; ; ; ; (, Proceedings of the American Control Conference)
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  10. ; ; ; ; ; ; ; (, PEARC '22: Practice and Experience in Advanced Research Computing)
    Full Text Available