Titlebook: Embodied Artificial Intelligence; International Semina Fumiya Iida,Rolf Pfeifer,Yasuo Kuniyoshi Book 2004 Springer-Verlag Berlin Heidelberg

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Embodied AI as Science: Models of Embodied Cognition, Embodied Models of Cognition, or Both? cognition that is underlying the modeling. In either case, it appears that embodied AI, as it currently stands, might be too narrowly conceived since each of these perspectives is addressed only partially.

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Embodied Artificial Intelligence: Trends and Challenges 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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Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamicsnstants between hip, knee, and ankle joints, as well as of the strength of the sensory feedback, induces a reduction of movement variability, and leads to an increase in bouncing amplitude and movement stability. This result is attributed to the synergy between neural and body-environment dynamics.

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How Should Control and Body Systems Be Coupled? A Robotic Case Studybody system to be implemented. We also discuss a property expected to emerge under the “well-balanced coupling” particularly from the viewpoint of learning, by borrowing the idea from the “protein folding problem”.

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