Papers
9
Total Citations
599
H-Index
6
About
Matthew Tan is a leading researcher at the intersection of soft robotics and intelligent systems, with a primary focus on miniature soft robots, resilient actuators, and multimodal sensing. His most impactful work, “Locomotion of Miniature Soft Robots” (196 citations), provides a foundational framework for understanding how smart materials enable mobility at micro-to-centimeter scales. Tan’s contributions to rugged soft robotics are equally significant: his development of tough, self-healable adhesive elastomers (172 citations) directly addresses the critical challenge of physical damage in dynamic environments, while his photothermal modulated dielectric elastomer actuators (115 citations) offer a novel path to resilience without sacrificing actuation performance. Beyond hardware, Tan explores crossmodal perception, using deep reinforcement learning to integrate vision and touch for contact-rich manipulation. His work on 3D-printed multilayer dielectric elastomer actuators for vibrotactile devices further demonstrates his commitment to practical, scalable fabrication. With over 600 total citations, Tan’s research is shaping the future of soft, durable, and perceptive robotic systems—essential reading for anyone interested in robots that can survive and adapt in the real world.
Research Focus
Key Achievements
Top Papers
- 1Locomotion of Miniature Soft Robots196 citations · 2020
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- 3Photothermal modulated dielectric elastomer actuator for resilient soft robots115 citations · 2022
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- 7A resource allocation strategy in a robotic ad-hoc network6 citations · 2014
- 8Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors3 citations · 2021
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