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Roboception and adaptation in a cognitive robot

Academic Article
Publication Date:
2023
abstract:
In robotics, perception is usually oriented at understanding what is happening in the external world, while few works pay attention to what is occurring in the robot's body. In this work, we propose an artificial somatosensory system, embedded in a cognitive architecture, that enables a robot to perceive the sensations from its embodiment while executing a task. We called these perceptions roboceptions, and they let the robot act according to its own physical needs in addition to the task demands. Physical information is processed by the robot to behave in a balanced way, determining the most appropriate trade-off between the achievement of the task and its well being. The experiments show the integration of information from the somatosensory system and the choices that lead to the accomplishment of the task.
Iris type:
01.01 Articolo in rivista
Keywords:
somatosensory system; soft sensors; cognitive architecture; humanoid robot; roboception; reinforcement learning
List of contributors:
Maniscalco, Umberto; Pilato, Giovanni; Infantino, Ignazio; Vella, Filippo; Augello, Agnese
Authors of the University:
AUGELLO AGNESE
INFANTINO IGNAZIO
MANISCALCO UMBERTO
PILATO GIOVANNI
VELLA FILIPPO
Handle:
https://iris.cnr.it/handle/20.500.14243/463301
Published in:
ROBOTICS AND AUTONOMOUS SYSTEMS
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S0921889023000398
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