From Human Perception and Action Recognition to Causal Understanding of Human-Robot Interaction in Industrial Environments

Ghidoni, Stefano, Terreran, Matteo, Evangelista, Daniele , Menegatti, Emanuele, Eitzinger, Christian, Villagrossi, Enrico, Pedrocchi, Nicola, Castaman, Nicola, Malecha, Marcin, Mghames, Sariah, Castri, Luca, Hanheide, Marc and Bellotto, Nicola (2022) From Human Perception and Action Recognition to Causal Understanding of Human-Robot Interaction in Industrial Environments. In: Ital-IA 2022, 9th-11th February 2022, Online.

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From Human Perception and Action Recognition to Causal Understanding of Human-Robot Interaction in Industrial Environments
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Abstract

Human-robot collaboration is migrating from lightweight robots in laboratory environments to industrial applications, where heavy tasks and powerful robots are more common. In this scenario, a reliable perception of the humans involved in the process and related intentions and behaviors is fundamental. This paper presents two projects investigating the use of robots in relevant industrial scenarios, providing an overview of how industrial human-robot collaborative tasks can be successfully addressed.

Keywords:Human robot interaction, causal inference
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
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ID Code:48515
Deposited On:23 Mar 2022 11:07

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