Papers
20
Total Citations
800
H-Index
13
About
David McCoul is a researcher whose work sits at the dynamic intersection of soft robotics, smart materials, and wearable technology, with a particular focus on dielectric elastomer actuators (DEAs) and sensors. His contributions have helped establish DEAs as a transformative platform for next-generation robotic systems, demonstrating their remarkable versatility across applications ranging from lightweight manipulators to biomimetic swimming robots. Among his most influential works, McCoul's 2017 study on inkjet 3D printing of silicone elastomers for DEAs (131 citations) opened new manufacturing pathways for these devices, while his wearable stretch sensor research (101 citations) advanced human motion capture for rehabilitation and human-computer interaction. His designs for ultra-lightweight robotic manipulators, soft hopping-running robots, and breaststroke-inspired swimming robots collectively illustrate a sustained effort to push soft robotics beyond laboratory curiosity toward real-world deployment. His investigations into nonlinear oscillation in rotary joints and dynamic modeling of dielectric elastomer minimum energy structures further reflect his commitment to rigorous theoretical grounding alongside practical innovation. With over 690 citations across his top ten papers alone, McCoul's research has meaningfully shaped the soft robotics community, offering students and fellow researchers a compelling blueprint for building intelligent, compliant, and energy-efficient machines.
Research Focus
Key Achievements
Top Papers
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- 3A Super-Lightweight and Soft Manipulator Driven by Dielectric Elastomers86 citations · 2020
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- 10Equivalent dynamic model of DEMES rotary joint30 citations · 2016