Dino Bortot
Papers
7
Total Citations
216
H-Index
6
About
Dino Bortot is a researcher specializing in human-robot interaction (HRI), human-machine systems, and collaborative automation in industrial environments. His work sits at the intersection of robotics, cognitive ergonomics, and safety engineering, with a focus on making shared workspaces between humans and machines both safer and more efficient. Bortot's most influential contribution is his taxonomic framework for human-machine cooperation, published in 2012 and cited 64 times, which systematically categorizes cooperative systems across five layers — intention, modes of cooperation, allocation, interfaces, and contact — providing a foundational reference for designers of assistance systems. Complementing this, his 2011 work on human arm motion modeling (53 citations) advanced the field by demonstrating how predicting operator movement patterns can enable robots to respond adaptively and safely in real time. His investigations into robot trajectory design — exploring whether industrial robots should approach humans directly or via detours — garnered significant attention (collectively over 65 citations), offering practical design guidance rooted in empirical behavioral research. His earlier 2010 studies laid important groundwork for integrating human behavioral models into robot control systems. Across his body of work, Bortot has made enduring contributions to the principles governing safe, intuitive, and efficient human-robot collaboration in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Interaction Principles for Cooperative Human-Machine Systems64 citations · 2012
- 2
- 3Directly or on detours? How should industrial robots approximate humans?39 citations · 2013
- 4Directly or on detours?: how should industrial robots approximate humans?26 citations · 2013
- 5Human motion behavior while interacting with an industrial robot21 citations · 2012
- 6An Approach for Safe and Efficient Human-Robot Collaboration10 citations · 2010
- 7