This paper introduces a novel form of cooperation between the humans and user-supervised robots that we name shared intelligence. The fundamental principle at the base of shared intelligence is that the user’s commands are equally processed with the robot’s perception in order to create a successful interaction. We investigate a first shared intelligence system to mentally teleoperate a mobile robot via brain-machine interface. The preliminary results promote the introduction of shared intelligence to augment the human-robot interaction without pre-fixing specific constraints (environment-dependent) thanks to the coupling between the human and the robot.

Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions

Beraldo G.
Primo
;
2021

Abstract

This paper introduces a novel form of cooperation between the humans and user-supervised robots that we name shared intelligence. The fundamental principle at the base of shared intelligence is that the user’s commands are equally processed with the robot’s perception in order to create a successful interaction. We investigate a first shared intelligence system to mentally teleoperate a mobile robot via brain-machine interface. The preliminary results promote the introduction of shared intelligence to augment the human-robot interaction without pre-fixing specific constraints (environment-dependent) thanks to the coupling between the human and the robot.
2021
Istituto di Scienze e Tecnologie della Cognizione - ISTC
9783030770907
9783030770914
Neurorobotics, Brain-machine interface, Telerobotics and teleoperation, Behavior-based systems
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Descrizione: Beraldo, G., Tonin, L., Menegatti, E. (2021). Shared Intelligence for User-Supervised Robots: From User’s Commands to Robot’s Actions. In: Baldoni, M., Bandini, S. (eds) AIxIA 2020 – Advances in Artificial Intelligence. AIxIA 2020. Lecture Notes in Computer Science(), vol 12414. Springer, Cham. https://doi.org/10.1007/978-3-030-77091-4_27
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/516745
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