Lorenzo De Mari Casareto Dal Verme
Papers
9
Total Citations
94
H-Index
4
About
Lorenzo De Mari Casareto Dal Verme is an emerging robotics researcher whose work sits at the intersection of robotic manipulation, inspection systems, and advanced control theory. His research focuses primarily on hyper-redundant and cable-driven manipulators, with a particular emphasis on designing flexible, snake-like robotic systems capable of operating in challenging, confined, and hazardous environments — applications with profound implications for worker safety and infrastructure longevity. His most impactful contribution, a 2024 literature review on modelling and control of manipulators for inspection and maintenance, has already accumulated 47 citations, establishing him as a synthesizer of knowledge in this rapidly growing field. His 2022 paper presenting a novel long-reach cable-driven hyper-redundant manipulator (21 citations) demonstrates his hands-on design expertise, while subsequent reviews on tendon-driven systems further consolidate his authority on actuation strategies and mechanical architectures. Beyond mechanical design, De Mari Casareto Dal Verme has made notable contributions to control theory, including Lyapunov stability analysis for elastic-joint manipulators and neural network-based elasticity compensation. His work on convex model predictive control for autonomous logistics robots reflects impressive breadth. Still early in his career, his growing citation record signals a researcher poised to make lasting contributions to next-generation robotic inspection technology.
Research Focus
Key Achievements
Top Papers
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- 3Tendon-Driven Hyper-Redundant Manipulators: A Review on Design Solutions8 citations · 2025
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