Papers
93
Total Citations
3,101
H-Index
23
About
Egidio Falotico is a leading researcher at the intersection of soft robotics, machine learning, and neurorobotics, whose work has fundamentally advanced how we design and control compliant robotic systems. His most influential contribution, a comprehensive survey on control strategies for soft robotic manipulators (2018, 624 citations), established a critical reference framework for a rapidly growing field still lacking unified design principles. Building on this, Falotico pioneered the application of model-based and deep reinforcement learning to dynamic control of soft manipulators, with key papers accumulating nearly 400 and 83 citations respectively, demonstrating that data-driven approaches can overcome the formidable modeling challenges posed by highly nonlinear, deformable systems. Falotico has also made meaningful strides in assistive robotics, developing soft manipulators specifically designed for elder care, including an innovative shower-assistance robotic arm that prioritizes safe human-robot interaction. His contributions extend further into neurorobotics, co-developing the Neurorobotics Platform to connect biologically realistic brain models to embodied robotic agents. With a body of work exceeding 1,500 cumulative citations, Falotico stands as a pivotal figure shaping the future of intelligent, bio-inspired, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Control Strategies for Soft Robotic Manipulators: A Survey624 citations · 2018
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- 8Soft assistive robot for personal care of elderly people95 citations · 2016
- 9Stable Open Loop Control of Soft Robotic Manipulators92 citations · 2018
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