0000000000602737

AUTHOR

Benoît Girard

showing 2 related works from this author

Toward Self-Aware Robots

2018

Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly achieving actions and tasks without understanding what they are doing. Deep-Learning AI programs classify tremendous amounts of data without grasping the meaning of their inputs or outputs. We still lack a genuine theory of the underlying principles and methods that would enable robots to understand their environment, to be cognizant of what they do, to take appropriate and timely initiatives, to learn from their own experience and to show that they know that they have learned and how. The rationale of this paper is that the understanding of its environment by an agent (the agent itself and its effect…

human-robot interactionlearninglcsh:Mechanical engineering and machinerycognitive architecturelcsh:TJ1-1570decision-makinglcsh:Electronic computers. Computer scienceself-awarenessaffordancelcsh:QA75.5-76.95Frontiers in Robotics and AI
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

2017

International audience; No abstract available

0301 basic medicineCerebellumComputer science[SDV]Life Sciences [q-bio]General Neurosciencelcsh:QP351-495Meeting Abstractslcsh:RC321-57103 medical and health sciencesCellular and Molecular Neurosciencelcsh:Neurophysiology and neuropsychology030104 developmental biologymedicine.anatomical_structuremedicineNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceComputingMilieux_MISCELLANEOUScomputational neuroscienceBMC Neuroscience
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