Abstract:Open-ended learning is a core research field of developmental robotics and AI aiming to build learning machines and robots that can autonomously acquire knowledge and skills incrementally as infants. The first contribution of this work is to highlight the challenges posed by the previously proposed benchmark 'REAL competition' fostering the development of truly open-ended learning robots. The benchmark involves a simulated camera-arm robot that: (a) in a first 'intrinsic phase' acquires sensorimotor competence… Show more
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