Massimo Vespignani
École Polytechnique Fédérale de Lausanne, Ames Research Center
Papers
25
Total Citations
1,185
H-Index
13
About
Massimo Vespignani is a pioneering roboticist whose research sits at the intersection of compliant robotics, tensegrity structures, and bio-inspired locomotion. His work spans two transformative domains: legged quadruped robots and tensegrity-based robotic systems, both unified by a commitment to building machines that are mechanically resilient, adaptable, and capable of navigating complex real-world environments. Vespignani's early landmark contribution, the Cheetah-cub quadruped robot (2013, 421 citations), demonstrated how spring-loaded, pantograph-inspired leg designs could achieve remarkably fast and stable trotting gaits using open-loop control — a significant step toward practical legged locomotion. His subsequent research shifted toward tensegrity robotics, a field he has helped define. Through projects like SUPERball v2 and multiple control frameworks combining deep reinforcement learning and symmetry-reduced learning, Vespignani has advanced tensegrity robots from theoretical curiosities into credible candidates for planetary exploration and impact-resilient deployment. His contributions to modular robotics through the Roombots platform (118 citations) further demonstrate his breadth, exploring self-reconfiguration and adaptive morphology. Collectively, his body of work — accumulating hundreds of citations across compliant mechanisms, locomotion control, and structural robotics — marks him as a leading voice shaping the future of mechanically intelligent, robust robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Tensegrity Robotics137 citations · 2021
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- 5Deep reinforcement learning for tensegrity robot locomotion92 citations · 2017
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- 8Steerable Locomotion Controller for Six-strut Icosahedral Tensegrity Robots25 citations · 2018
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