Leanne Raw

Papers

Total Citations

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About

Leanne Raw is a pioneering roboticist whose research lies at the intersection of bio-inspired design, adaptive locomotion, and resilient control systems. Her work fundamentally addresses how robots can move with the agility of animals while surviving real-world damage. In her highly cited 2019 paper (13 citations), Raw tackled the critical engineering dilemma of limb morphology selection for quadruped robots, demonstrating how biological leg structures directly influence transient locomotion performance—a key insight for building faster, more agile machines. She then advanced the field with her 2021 study on evolving gaits for damage control in hexapod robots, showing how evolutionary algorithms can enable autonomous systems to maintain functionality after actuator failures or morphological damage. This work is vital for robots operating in remote, hazardous environments where human repair is impossible. Raw’s contributions are shaping the next generation of resilient, animal-like robots, bridging the gap between biological inspiration and practical engineering. Her research is essential reading for anyone interested in creating robots that are not only fast and agile but also robust enough to survive the unexpected.