Papers
18
Total Citations
1,114
H-Index
9
About
Riccardo Minto is a prominent robotics and manufacturing researcher whose work has significantly advanced the field of human-robot collaboration (HRC) and collaborative robotics. Based at the intersection of industrial engineering and robotics, his research focuses on collaborative robots (cobots), smart manufacturing, task allocation, and assembly system optimization within the Industry 4.0 paradigm. Minto's most influential contribution, a 2019 review of human-robot collaboration in manufacturing applications, has garnered over 600 citations, establishing him as a leading voice in the cobot research community. His subsequent work systematically addresses the practical deployment of cobots, examining human factors, productivity analysis, and safety considerations that are often overlooked in real-world implementations. Notably, he developed the C-ALB (Collaborative Assembly Line Balancing) framework, offering novel approaches to task allocation that account for variable cobot speeds and operator safety simultaneously. Beyond collaborative assembly, Minto has contributed to cable-driven parallel robot research, investigating emergency recovery strategies that address unique challenges these systems pose. With a growing body of work accumulating over 1,000 citations collectively, his research provides both theoretical models and practical guidance, making him a valuable reference for engineers and researchers navigating the evolving landscape of human-robot collaborative manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Human–Robot Collaboration in Manufacturing Applications: A Review607 citations · 2019
- 2Human factors in cobot era: a review of modern production systems features144 citations · 2022
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- 9Experimental Investigation of a Cable Robot Recovery Strategy14 citations · 2021
- 10Improving a Cable Robot Recovery Strategy by Actuator Dynamics9 citations · 2020