Gianluigi Grandesso
Papers
3
Total Citations
28
H-Index
2
About
Gianluigi Grandesso is a researcher at the forefront of robotic co-design, a field that seeks to simultaneously optimize a robot’s physical structure and its control algorithms. His work focuses on creating more robust and energy-efficient machines by coupling morphology with feedback design. Grandesso’s most influential contribution, the 2021 paper "Robust Co-Design: Coupling Morphology and Feedback Design Through Stochastic Programming" (17 citations), introduces a novel framework that integrates trajectory optimization with feedback control. This approach allows robots to maintain high performance even under unexpected disturbances, marking a significant advance over traditional sequential design methods. He has also made notable strides in actuation systems, exploring the limits of hybrid and redundant architectures. His 2021 study (9 citations) compares the energy efficiency of combining Quasi-Direct Drive motors with Series Elastic Actuators against conventional geared motors, revealing pathways to more economical robotic motion. Through these contributions, Grandesso is helping to shape a future where robots are not only more capable but also inherently resilient and energy-conscious.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring the Limits of a Redundant Actuation System Through Co-Design9 citations · 2021
- 3Exploring the limits of a hybrid actuation system through Co-Design2 citations · 2020