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28 March 2024 |
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DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self | Clément Moulin-Frier
; Tobias Fischer
; Maxime Petit
; Grégoire Pointeau
; Jordi-Ysard Puigbo
; Ugo Pattacini
; Sock Ching Low
; Daniel Camilleri
; Phuong Nguyen
; Matej Hoffmann
; Hyung Jin Chang
; Martina Zambelli
; Anne-Laure Mealier
; Andreas Damianou
; Giorgio Metta
; Tony J. Prescott
; Yiannis Demiris
; Peter Ford Dominey
; Paul F. M. J. Verschure
; | Date: |
12 Jun 2017 | Abstract: | This paper introduces a cognitive architecture for a humanoid robot to engage
in a proactive, mixed-initiative exploration and manipulation of its
environment, where the initiative can originate from both the human and the
robot. The framework, based on a biologically-grounded theory of the brain and
mind, integrates a reactive interaction engine, a number of state-of-the art
perceptual and motor learning algorithms, as well as planning abilities and an
autobiographical memory. The architecture as a whole drives the robot behavior
to solve the symbol grounding problem, acquire language capabilities, execute
goal-oriented behavior, and express a verbal narrative of its own experience in
the world. We validate our approach in a human-robot interaction experiment
with the iCub humanoid robot, showing that the proposed cognitive architecture
can be applied in real time within a realistic scenario. | Source: | arXiv, 1706.3661 | Services: | Forum | Review | PDF | Favorites |
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