Paolo Guardiani
Papers
10
Total Citations
133
H-Index
6
About
Paolo Guardiani is a robotics researcher specializing in autonomous inspection systems, cable-driven hyper-redundant robots, and intelligent robotic design for industrial applications. His work addresses one of modern industry's most pressing challenges: enabling robots to safely access confined, hazardous, or otherwise inaccessible environments in place of human workers. Guardiani's most influential contributions include the development of the Deep Endoscope, the first autonomous system capable of inspecting ducts as narrow as 6 mm in diameter for the avionic industry (27 citations), and pioneering research on cable-driven hyper-redundant snake-like manipulators optimized for inspection and maintenance tasks (27 and 21 citations respectively). His designs emphasize safety, payload efficiency, and mechanical precision, with notable work on optimal cable routing, non-circular pulleys for torque compensation using convex optimization, and bond-graph modeling of cable joint dynamics. He has also applied neural network techniques to compensate for elastic deformation in long-reach manipulators, advancing the accuracy of these complex systems. Beyond manipulation, Guardiani has contributed to reconfigurable inspection robots for power generators and multi-sensor rivet inspection platforms. With over 130 cumulative citations, his research bridges mechanical design, control theory, and applied AI, making him a notable voice in field robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Deep Endoscope: Intelligent Duct Inspection for the Avionic Industry27 citations · 2018
- 2
- 3Reconfigurable inspection robot for industrial applications21 citations · 2019
- 4
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- 6Modeling Cable-Driven Joint Dynamics and Friction: a Bond-Graph Approach9 citations · 2020
- 7Novel Integrated Robotic System for Tiny Duct Inspection4 citations · 2018
- 8
- 9Rivet inspection with multi-sensor robotic system2 citations · 2020
- 10