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

車(chē)床

Self-Stabilization and Behavioral Diversity of Embodied Adaptive Locomotionoiting the dynamics of the system-environment interaction, very simple controllers can be designed which is essential to achieve rapid locomotion. Special consideration must be given to the choice of body materials. We conclude with some speculation about the importance of locomotion for understanding cognition.

arabesque

Book 2004wing an introductory overview, the 23 papers are organized into topical sections on..-?philosophical and conceptual issues..- information, dynamics, and morphology..- principles of embodiment for real-world applications..- developmental approaches..- artificial evolution and self-reconfiguration.

Acetabulum

https://doi.org/10.1007/978-81-322-1284-3 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?”

reperfusion

https://doi.org/10.1007/978-981-33-4876-9nstants 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.

enflame

3D Printed Microfluidic Devices,body 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”.

Ergots

Location Microformats: GEO and ADRnt of the perceptron and consequent artificial neural networks, developed using local properties of individual neurons. We wish to continue this trend by studying the network processing of ensembles of living neurons that lead to higher-level cognition and intelligent behavior.

裝飾

DAMP

Estimates of the Negative SpectrumThe robot learns to acquire meaningful information such as the slip and the object texture from the outputs of receptors through interaction with the environment like a human does. Several experimental results are shown to demonstrate its sensing ability and applicability for the developmental approach.

Kinetic

Inkling

Microfluidics in Chemical Biology,drive neural and cognitive processes. The statistics of sensory inputs can be captured by using methods from information theory, specifically measures of entropy, mutual information and complexity, on sensory data streams. Several such methods are outlined and their application to embodied AI systems is discussed.