Peisong Wang

Shanghai University of Electric Power, Southern University of Science and Technology

Papers

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About

Peisong Wang is a pioneering researcher in soft robotics and intelligent actuation systems, with a focus on developing novel power and sensing solutions for next-generation robotic platforms. His work bridges the gap between theoretical modeling and practical application, particularly in the areas of fuel cell hybrid power systems for mobile robots and electrostatic film actuators for soft robotics. Wang’s most cited paper, “Status evaluation of mobile welding robot driven by fuel cell hybrid power system based on cloud model” (2019, 27 citations), introduces a cloud model-based framework for assessing the operational status of fuel cell-powered robots, addressing critical challenges in energy management and reliability. In his 2020 work on electrostatic film actuators (11 citations), Wang developed a comprehensive mathematical model using the method of moments to link design parameters with actuation performance, enabling systematic optimization of these promising soft robotic drivers. His recent 2023 study on “Innervation of Sensing Microchannels for Three-Dimensional Stimuli Perception” (7 citations) advances electronic skin technology by overcoming the limitations of planar geometries, creating multi-directional sensing capabilities for soft robotics and wearable devices. Wang’s contributions are instrumental in pushing the boundaries of soft robotics, energy-efficient systems, and intelligent perception, making him a notable figure in the field.