Enrico Donato
Papers
8
Total Citations
72
H-Index
6
About
Enrico Donato is a leading researcher at the intersection of soft robotics, underwater robotics, and bio-inspired control systems. His work focuses on enabling robots to interact safely and effectively with complex, unstructured environments—from the deep sea to delicate manipulation tasks. Donato’s major contributions include pioneering passive station keeping for underwater legged robots, where he demonstrated that negatively buoyant robots can exploit substrate contact and friction to maintain position without active thrust, a breakthrough with 20 citations. He has also advanced the control of continuum soft manipulators, addressing the nonlinear challenges that have historically limited their real-world deployment. His research on multi-modal perception, fusing touch and vision through generative models, and on continual policy distillation for reinforcement learning-based controllers, has garnered over 30 combined citations, showcasing its impact on dexterous in-hand manipulation. Notably, Donato has developed plant-inspired behavior-based controllers for redundant continuum arms, enabling reaching capabilities without relying on traditional internal models. His work on additively manufactured soft grippers for Li-ion battery handling highlights his commitment to practical, industrial applications. Donato’s innovative, cross-domain approach positions him as a rising figure in robotics, bridging theory and application.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Station Keeping Performance of an Underwater Legged Robot20 citations · 2021
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- 5Statics Optimization of a Hexapedal Robot Modelled as a Stewart Platform8 citations · 2021
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- 8To Enabling Plant-like Movement Capabilities in Continuum Arms4 citations · 2022