Papers
9
Total Citations
151
H-Index
6
About
Gaetano Lettera is a robotics researcher whose work sits at the intersection of human-robot collaboration, industrial automation, and robotic manipulation. His research has made significant contributions to two primary domains: ensuring human safety in collaborative robotic workcells and advancing dexterous robotic grasping and manipulation for complex real-world tasks. Lettera's most impactful work focuses on developing multimodal perception and control systems that enable robots and human operators to safely share industrial workspaces. His 2021 paper on human safety in collaborative workcells has garnered 75 citations, reflecting the urgency and relevance of this challenge in modern manufacturing. Complementing this, his fuzzy inference and hybrid architectural approaches offer practical frameworks for dynamic robot speed regulation in compliance with evolving Industry 5.0 standards. Beyond safety, Lettera has explored retail robotics and advanced grasp control, including a notable study on supermarket shelf-restocking robots and a model-based controller for parallel grippers using tactile feedback. His sustained involvement in the LABOR project demonstrates meaningful engagement with aerospace manufacturing, targeting robotic assembly and inspection of composite fuselage panels. Collectively accumulating over 150 citations, his body of work positions him as a thoughtful contributor to the practical deployment of collaborative robotics in demanding industrial environments.
Research Focus
Key Achievements
Top Papers
- 1A Multimodal Approach to Human Safety in Collaborative Robotic Workcells75 citations · 2021
- 2Can Robots Refill a Supermarket Shelf?: Motion Planning and Grasp Control20 citations · 2021
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- 5Grasp Control for Enhancing Dexterity of Parallel Grippers11 citations · 2020
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- 7A Hybrid Architecture for Safe Human–Robot Industrial Tasks5 citations · 2025
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