Papers
2
Total Citations
37
H-Index
2
About
Haiwei Chen is a researcher specializing in soft robotics and nonlinear dynamics, with a particular focus on the design and control of flexible actuation systems. His major contributions include developing an optimum design method for pneu-net actuators, which are critical for soft robotic applications requiring precise trajectory matching. By integrating finite element analysis (FEA) with a genetic algorithm (GA), Chen’s 2019 study systematically examined nine design parameters influencing bending deformation, enabling actuators to achieve specific target trajectories. This work, cited 35 times, provides a foundational framework for engineers seeking to tailor soft actuators for tasks like grasping or locomotion. Chen has also explored the micro chaotic phenomena in rigid-flexible robots, investigating control strategies to mitigate instability in hybrid systems. While this area is less cited, it highlights his broader interest in the complex dynamics of flexible structures. His research bridges theoretical modeling and practical design, offering tools for advancing soft robotics in medical devices, industrial automation, and human-robot interaction. Chen’s work is particularly valuable for students and researchers aiming to optimize soft actuator performance through data-driven, simulation-based approaches.
Research Focus
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Top Papers
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