Papers
10
Total Citations
178
H-Index
5
About
Manuel Cestari is a leading roboticist whose work sits at the intersection of bio-inspired locomotion, wearable robotics, and intelligent actuation. His research focuses on understanding and replicating the dynamic adaptability of biological systems to improve the performance of legged robots and assistive devices. Cestari’s major contributions include the development of the AMP-Foot 3, a new generation of propulsive prosthetic feet that deliver explosive motion characteristics, and the ARES-XL, a versatile adjustable rigidity actuator with a locking mechanism that enhances safety and energy efficiency in human-robot interaction. His foundational work on identifying ground-robot impedance has been instrumental in improving terrain adaptability for running robots, with his most cited paper (58 citations) demonstrating how biomechanical principles can inform robotic design. Cestari has also pioneered the use of interpretable deep learning models for predicting balance loss, addressing critical fall risks in wearable robotics. With over 170 citations across his top papers, his research has significant implications for rehabilitation, prosthetics, and field robotics, bridging the gap between biological agility and mechanical precision.
Research Focus
Key Achievements
Top Papers
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- 7Exploiting joint synergy for actuation in a lower‐limb active orthosis4 citations · 2013
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- 10EVENT DRIVEN GROUND-IMPEDANCE IDENTIFICATION FOR LEGGED ROBOTS2 citations · 2013