Papers
29
Total Citations
486
H-Index
12
About
Sergio Savino’s research career is defined by a unique blend of robotic manipulation, vision systems, and mobile robotics, with a strong emphasis on practical, real-world applications. His work has garnered over 370 citations, reflecting its impact across manufacturing, agriculture, and assistive technology. A central theme in his research is the development of dexterous, underactuated robotic hands, such as the FEDERICA Hand and LARM Hand, which use clever mechanical designs—like tendon-driven fingers and single actuators—to achieve complex grasping with minimal control complexity. This work, detailed in a highly cited 2015 comparative study, has advanced the field of affordable and functional prosthetics and grippers. Beyond manipulation, Savino has made significant contributions to robotic vision and calibration, including methods for 3-D laser scanners and the application of the Microsoft Kinect V2 in manufacturing. His recent work extends to agricultural robotics, where he has developed multibody models for rovers with modified rocker-bogie suspensions, aiming to improve autonomous navigation in challenging terrains. Savino’s research is distinguished by its focus on bridging theoretical models with tangible, industry-ready solutions, from flexible gluing systems for footwear to trajectory planning algorithms that enhance robotic precision.
Research Focus
Key Achievements
Top Papers
- 1Robot trajectory planning by assigning positions and tangential velocities55 citations · 2012
- 2A method for the calibration of a 3-D laser scanner52 citations · 2010
- 3Microsoft Kinect V2 vision system in a manufacturing application47 citations · 2017
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- 5Performance Comparison Between FEDERICA Hand and LARM Hand43 citations · 2015
- 6Theoretical study on a modified rocker-bogie suspension for robotic rovers31 citations · 2023
- 7A study of a robotic hand with tendon driven fingers31 citations · 2014
- 8An Underactuated Multi-finger Grasping Device27 citations · 2014
- 9A new real-time shape acquisition with a laser scanner: first test results26 citations · 2010
- 10