Papers
13
Total Citations
144
H-Index
6
About
Matteo Pantano is a robotics and automation researcher whose work sits at the intersection of human-robot collaboration (HRC), Industry 4.0, and intelligent manufacturing systems. His research addresses some of the most pressing challenges in modern industrial automation: enabling flexible, safe, and intuitive collaboration between human workers and robotic systems in real-world factory environments. Pantano's most influential contributions include developing a human-cyber-physical system framework for lean automation under Industry 4.0 architectures (28 citations), advancing multimodal interfaces that allow workers to communicate with robots through speech, gesture, and touch (20 citations), and pioneering augmented reality tools to reduce cognitive load in collaborative industrial processes — validated in collaboration with Siemens (17 citations). His work on weakly supervised image labeling for deformable linear objects such as cables and wires (23 citations) demonstrates a strong interest in bridging perception challenges for underexplored robotic manipulation tasks. Beyond the factory floor, Pantano has contributed to agricultural robotics, including plant identification pipelines and vineyard robot localization. His research consistently prioritizes human-centered design, worker ergonomics, and safety in robotic deployments. With over 130 cumulative citations across a focused body of work, Pantano is establishing himself as a significant voice in the future of intelligent, human-aware automation.
Research Focus
Key Achievements
Top Papers
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- 3Multimodal Interface for Human–Robot Collaboration20 citations · 2022
- 4Augmented Reality for Supporting Workers in Human–Robot Collaboration17 citations · 2023
- 5Capability-based Frameworks for Industrial Robot Skills: a Survey13 citations · 2022
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