Emma D. Wilson
University of Sheffield, University of Bristol, Lancaster University
Papers
8
Total Citations
87
H-Index
6
About
Dr. Emma D. Wilson is a pioneering researcher at the intersection of bioinspired control, soft robotics, and nonlinear system identification. Her work focuses on translating neural principles—particularly the adaptive filter model of the cerebellum—into practical control architectures for artificial muscles, hydraulic manipulators, and autonomous systems. She has made major contributions to the development of control-oriented models for dielectric elastomer actuators (DEAs), enabling frequency-response-based identification that bridges the gap between complex physics and real-time control design. Her biohybrid control framework for general linear systems, which applies cerebellar adaptive filtering to robotic platforms, has been cited over 16 times and demonstrated in biomimetic whiskered robots for visual-tactile sensory calibration. Dr. Wilson’s research on state-dependent parameter modeling for inverse dead-zone control of hydraulic manipulators (12 citations) addresses critical challenges in nuclear decommissioning robotics. She has also advanced cerebellar chip design for multizone sensorimotor processing, laying groundwork for general control modules in autonomous systems. With over 85 total citations across her most-cited works, Dr. Wilson’s contributions are shaping the future of adaptive, bioinspired robotics.
Research Focus
Key Achievements
Top Papers
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- 3Bioinspired Adaptive Control for Artificial Muscles16 citations · 2013
- 4Visual-tactile sensory map calibration of a biomimetic whiskered robot14 citations · 2016
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