One of the open challenges in Human-Robot collaborative tasks is to provide a simple way for humans to understand robotic systems' plans and actions and to interact with them in the most natural way. Towards the direction of a natural interaction between human and robots, we propose a simple and intuitive interface exploiting the emergent Augmented Reality (AR) technology. This interface aims not only to enhance human awareness of the robot status and planned actions during collaborative tasks, but also to improve the quality of the work. The presented interface enables the human operators to interact with the system sending commands (gesture or vocal) and receive instant feedbacks (holograms and sound) through an AR device, enabling an intuitive way to coordinate human and robot actions. The interface validation is performed through two industrial scenario experiments, i.e., a collaborative assembly of a metallic structure and a collaborative polishing. The experimental results showed...
An Intuitive Augmented Reality Interface for Task Scheduling, Monitoring, and Work Performance Improvement in Human-Robot Collaboration / De Franco, Alessandro; Lamon, Edoardo; Balatti, Pietro; De Momi, Elena; Ajoudani, Arash. - (2019), pp. 75-80. ( 2019 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2019 Budapest 03 July-05 July 2019) [10.1109/IWOBI47054.2019.9114472].
An Intuitive Augmented Reality Interface for Task Scheduling, Monitoring, and Work Performance Improvement in Human-Robot Collaboration
Lamon, EdoardoSecondo
;
2019-01-01
Abstract
One of the open challenges in Human-Robot collaborative tasks is to provide a simple way for humans to understand robotic systems' plans and actions and to interact with them in the most natural way. Towards the direction of a natural interaction between human and robots, we propose a simple and intuitive interface exploiting the emergent Augmented Reality (AR) technology. This interface aims not only to enhance human awareness of the robot status and planned actions during collaborative tasks, but also to improve the quality of the work. The presented interface enables the human operators to interact with the system sending commands (gesture or vocal) and receive instant feedbacks (holograms and sound) through an AR device, enabling an intuitive way to coordinate human and robot actions. The interface validation is performed through two industrial scenario experiments, i.e., a collaborative assembly of a metallic structure and a collaborative polishing. The experimental results showed...I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione



