Andrew R Duff
Papers
2
Total Citations
23
H-Index
2
About
Andrew R. Duff is a leading researcher in bio-inspired robotics, with a primary focus on understanding and replicating the maneuverability of fish through robophysical models. His work bridges the gap between biological morphology and engineering design, specifically investigating how body shape and motor control influence turning performance in underwater robots. In his highly cited 2021 study, "Comparing the turn performance of different motor control schemes in multilink fish-inspired robots" (12 citations), Duff systematically evaluated various control strategies, demonstrating that specific kinematic patterns significantly enhance agility. This was complemented by his foundational work, "Testing the effects of body depth on fish maneuverability via robophysical models" (11 citations), where he used robotic surrogates to test long-standing biological hypotheses about the functional role of deep, laterally compressed bodies. By providing quantitative evidence for how body depth affects turning radius and stability, Duff has directly informed the design of more agile and efficient underwater vehicles. His contributions are pivotal for advancing applications in environmental monitoring, underwater exploration, and autonomous systems, establishing him as a key figure in the field of bio-robotics and functional morphology.
Research Focus
Key Achievements
Top Papers
- 1
- 2