Lily D. Chambers
University of Bath, Tallinn University of Technology, University of Bristol
Papers
7
Total Citations
352
H-Index
7
About
Lily D. Chambers is a pioneering researcher in bioinspired robotics and flow sensing, whose work bridges biology and engineering to create smarter, more sustainable underwater robots. Her key research areas include hydrodynamic sensing, biomimetic lateral line systems, and biodegradable robotics. Chambers’ most influential contribution is the development of an artificial lateral line for pressure sensing in steady and unsteady flows, detailed in her highly cited 2012 paper (119 citations), which provides fundamental insights into how fish and swimming robots perceive their fluid environment. She extended this work by building the FILOSE robot (74 citations), a flow-sensing bioinspired platform that mimics fish locomotion using compliant parts (55 citations). Notably, Chambers also pioneered eco-friendly robotics, creating the first biodegradable microbial fuel cell stack (30 citations) and edible gelatine actuators for artificial muscles (28 citations), addressing the critical need for recoverable, non-polluting exploratory robots. Her research on Kármán vortex streets (26 citations) and oscillatory flow sensing (20 citations) has revealed how unsteady flows can be exploited for energy-efficient swimming, challenging traditional noise-avoidance approaches. Chambers’ work has profound implications for environmental monitoring, marine biology, and sustainable robotics, earning her recognition as a leader in merging biological inspiration with practical, green engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2FILOSE for Svenning: A Flow Sensing Bioinspired Robot74 citations · 2014
- 3Modelling of a biologically inspired robotic fish driven by compliant parts55 citations · 2014
- 4Fade to Green: A Biodegradable Stack of Microbial Fuel Cells30 citations · 2015
- 5Biodegradable and edible gelatine actuators for use as artificial muscles28 citations · 2014
- 6What information do Kármán streets offer to flow sensing?26 citations · 2011
- 7Sensing oscillations in unsteady flow for better robotic swimming efficiency20 citations · 2012