Anthony Drago
Papers
4
Total Citations
28
H-Index
3
About
Anthony Drago is a leading researcher in bio-inspired robotics, with a focus on underwater propulsion systems that mimic the agility of marine animals. His work centers on multi-fin propulsion, central pattern generator (CPG) control, and reinforcement learning for robotic locomotion. Drago’s major contributions include uncovering how fin phase, spacing, and compliance interact to generate efficient swimming in fish-like robots, a finding published in his most-cited paper (18 citations, 2024). He has also pioneered the use of reinforcement learning to tune CPG controllers, enabling adaptive gaits for complex multi-limbed systems. Notably, Drago developed a novel gait for a bio-robotic California sea lion, demonstrating how foreflipper and body coordination can be optimized through machine learning (3 citations, 2024). His research bridges biology and engineering, offering practical solutions for agile underwater vehicles. With a growing citation impact, Drago’s work is shaping the future of autonomous aquatic robotics, making him a key figure for students and researchers interested in bio-inspired design and intelligent control systems.
Research Focus
Key Achievements
Top Papers
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