Papers
8
Total Citations
72
H-Index
5
About
Elias Montini is an emerging researcher at the forefront of human-robot collaboration and intelligent manufacturing systems, with a body of work that bridges theoretical frameworks and real-world industrial application. His research centers on collaborative robotics, explainable artificial intelligence (xAI), and human-centered automation — fields increasingly critical as manufacturing undergoes its next industrial transformation. Montini's most influential contribution, a comprehensive survey on collaborative robotics drawing from both literature and practitioner perspectives (2024, 21 citations), has quickly established itself as a key reference for researchers and engineers navigating this rapidly evolving space. Complementing this, his 2023 framework for human-aware collaborative robotics systems development (16 citations) provides practical scaffolding for designing workstations where humans and robots safely coexist. His integration of active learning and xAI into visual inspection pipelines (13 citations) reflects a sophisticated understanding of how transparency in AI systems can meaningfully preserve human agency on the factory floor. Beyond theoretical contributions, Montini grounds his work in measurable human outcomes — examining worker well-being, trust, anxiety, and cognitive workload in live industrial deployments. With over 70 cumulative citations across publications spanning just two years, his trajectory signals a researcher poised to make lasting contributions to the future of intelligent, human-centered manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Framework for Human-aware Collaborative Robotics Systems Development16 citations · 2023
- 3Human in the AI Loop via xAI and Active Learning for Visual Inspection13 citations · 2023
- 4
- 5A Smart Work Cell to Reduce Adoption Barriers of Collaborative Robotics6 citations · 2023
- 6
- 7Human in the AI loop via xAI and Active Learning for Visual Inspection3 citations · 2023
- 8