Papers
3
Total Citations
45
H-Index
2
About
Lucio Sgrigna is a robotics researcher whose work centers on advanced motion control, autonomous navigation, and multi-agent robotic systems, with a particular focus on inspection and climbing robots operating in challenging environments. His most recognized contribution, "Motion Control of an Omnidirectional Climbing Robot Based on Dead Reckoning Method" (2015), has accumulated 35 citations and addresses the complex challenge of precise trajectory following for robots navigating vertical surfaces — a critical capability for industrial inspection applications. This work tackles the inherent limitations of omnidirectional wheel systems, including poor traction and mechanical vibrations that degrade positional accuracy, proposing dead reckoning-based solutions to improve reliability. Sgrigna has further expanded his research into scalable robotic architectures, contributing to the SCALA system — a modular, rail-based multi-agent platform designed to enable fine manipulation across large workspaces, reflecting a broader vision of collaborative robotic systems. His investigations into state estimation and path-following kinematics for curved and flat vertical surfaces with the Omniclimber robot demonstrate a sustained commitment to solving real-world locomotion and control problems. Collectively, his research contributes meaningfully to the growing field of specialized robotics for industrial inspection and autonomous manipulation.
Research Focus
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Top Papers
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