Witchuda Thongking

Suranaree University of Technology, Shibaura Institute of Technology

Papers

Total Citations

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About

Witchuda Thongking is a rising researcher at the intersection of soft robotics and intelligent control systems. Her work primarily focuses on advancing dielectric elastomer actuators (DEAs) for soft robotic applications and developing machine learning models for human-robot interaction. Thongking’s most cited paper, “Soft Robotic Gripper Based on Multi-Layers of Dielectric Elastomer Actuators” (2021, 47 citations), introduces a novel multi-layer DEA design that leverages the material’s light weight, resilience, and fast response to create effective soft grippers—a contribution that has drawn attention for its potential in artificial muscles and energy harvesting. Building on this, her 2023 study “Reservoir Computing Model for Human Hand Locomotion Signal Classification” (13 citations) tackles the challenge of human-movement recognition, proposing a reservoir computing approach to classify hand locomotion signals for seamless integration with soft wearable devices. This work underscores her commitment to bridging soft robotics with practical human-robot interfaces. Though early in her career, Thongking’s dual focus on actuator design and signal classification positions her as a promising voice in the field, with her research offering tangible pathways toward more adaptive and responsive soft robotic systems.