2 citations · 6 across the 5 of their papers we have counts for
5 papers
Gaze Detection and Analysis for Initiating Joint Activity in Industrial Human-Robot Collaboration
Pooja Prajod, Matteo Lavit Nicora, Marta Mondellini +4
Collaborative robots (cobots) are widely used in industrial applications, yet extensive research is still needed to enhance human-robot collaborations and operator experience. A po…
Design of a multimodal device to improve well-being of autistic workers interacting with collaborative robots
Carla Dei, Matteo Meregalli Falerni, Matteo Lavit Nicora +3
Several studies report that people diagnosed with autism spectrum disorder (ASD) have low employment rates and major difficulties in maintaining occupation (Hendricks, 2010). Adopt…
Gaze-based Attention Recognition for Human-Robot Collaboration
Pooja Prajod, Matteo Lavit Nicora, Matteo Malosio +1
Attention (and distraction) recognition is a key factor in improving human-robot collaboration. We present an assembly scenario where a human operator and a cobot collaborate equal…
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels
Le Anh Dao, Loris Roveda, Marco Maccarini +8
Black-box optimization refers to the optimization problem whose objective function and/or constraint sets are either unknown, inaccessible, or non-existent. In many applications, e…
Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent
Matteo Lavit Nicora, Sebastian Beyrodt, Dimitra Tsovaltzi +3
The integration of the physical capabilities of an industrial collaborative robot with a social virtual character may represent a viable solution to enhance the workers' perception…