Damiano Varagnolo
Norwegian University of Science and Technology, Luleå University of Technology
Papers
6
Total Citations
38
H-Index
5
About
Damiano Varagnolo is a researcher whose work bridges the frontiers of multi-vehicle coordination, bio-inspired robotics, and sensor intelligence. His core research areas include distributed model predictive control (MPC), robotic locomotion, and sensor calibration, with a particular focus on snake robots and underwater vehicles. Varagnolo’s major contributions include pioneering a distributed MPC approach for formation path-following of multi-vehicle systems, where polynomial splines parametrize vehicle trajectories to enable scalable coordination. He has also advanced the state of the art in snake robot locomotion by adapting form closure theory to define “form closed regions,” enabling robust obstacle-aided locomotion without requiring full actuation. In sensor technology, he developed a novel calibration procedure for distance sensors that eliminates the need for groundtruth data—a significant practical advance for field robotics. His work on estimating elbow joint angles from surface electromyography (EMG) signals has implications for prosthetic control, while his “hand position” concept for underactuated underwater vehicles offers a simple yet powerful stabilization method. With papers accumulating citations across these domains, Varagnolo’s research is characterized by its theoretical depth and practical relevance, consistently addressing real-world challenges in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Distributed MPC for Formation Path-Following of Multi-Vehicle Systems9 citations · 2022
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- 5Adaptive Hand Position for Underactuated Underwater Vehicles5 citations · 2025
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