Towards Imitation Learning from a Viewpoint of an Internal Observer

Yoshikawa, Yuichiro; Asada, Minoru; Hosoda, Koh

doi:10.1007/978-3-540-27833-7_21

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Achieving Higher Level Intelligence1

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2004

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“…Important first steps have demonstrated the inprinciple feasibility of this approach (e.g. Kuniyoshi et al, 2004;Jansen et al, 2004;Yoshikawa et al, 2004). Robots will no longer have to be programmed, but the skills they should acquire can simply be demonstrated.…”

Section: Achieving Higher Level Intelligencementioning

confidence: 99%

Embodied Artificial Intelligence: Trends and Challenges

Pfeifer

Iida

2004

Embodied Artificial Intelligence

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Abstract. The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent history. In the 1980s there has been a major paradigm shift towards embodiment. While embodied artificial intelligence is still highly diverse, changing, and far from "theoretically stable", a certain consensus about the important issues and methods has been achieved or is rapidly emerging. In this non-technical paper we briefly characterize the field, summarize its achievements, and identify important issues for future research. One of the fundamental unresolved problems has been and still is how thinking emerges from an embodied system. Provocatively speaking, the central issue could be captured by the question "How does walking relate to thinking?"

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Section: Achieving Higher Level Intelligencementioning

confidence: 99%