Daniele Ludovico
Papers
14
Total Citations
152
H-Index
6
About
Daniele Ludovico is a robotics researcher whose work centers on the design, modeling, and control of cable-driven and hyper-redundant manipulators, with a strong emphasis on inspection and maintenance applications in challenging environments. His research addresses a critical need in modern industry: deploying robotic systems safely in harsh, confined, or hazardous spaces where human access is impractical or dangerous. Among his most influential contributions is a comprehensive literature review on manipulator modeling and control for inspection tasks, which has already garnered 47 citations since its 2024 publication, reflecting its value as a foundational reference in the field. His earlier work on fully actuated cable-driven joint design with optimal cable routing (27 citations) and the development of a long-reach snake-like manipulator (21 citations) demonstrate his ability to translate theoretical insight into practical robotic architectures. Notably, his convex optimization approach to non-circular pulley design for passive torque compensation (18 citations) showcases elegant problem-solving at the intersection of mechanics and optimization. Ludovico has also contributed to stability analysis of cable-driven systems, bond-graph dynamic modeling, and model predictive control for autonomous mobile robots, reflecting a broad and growing research portfolio that positions him as an emerging voice in advanced robotic manipulation.
Research Focus
Key Achievements
Top Papers
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- 5Modeling Cable-Driven Joint Dynamics and Friction: a Bond-Graph Approach9 citations · 2020
- 6Tendon-Driven Hyper-Redundant Manipulators: A Review on Design Solutions8 citations · 2025
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