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

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A Human-Like Robot Hand and Arm with Fluidic Muscles: Biologically Inspired Construction and Functioination of biology and robots leads to smoother and compliant movement which is more pleasant for us as people. Biologically inspired robots embody non-rigid movement which are made possible by special joints or actuators which give way and can both actively and passively adapt stiffness in differen

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Agent-Environment Interaction in Visual Homing. An example is shown where an agent performs visual homing in a virtual environment with several obstacles which also serve as visual landmarks. The agent has omnidirectional vision similar to many prey animals. The applied visual homing strategy is the Average Landmark Vector (ALV) model by Lambri

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Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examplesy logical or geometrical paradigm are limited in their ability to deal with partial or uncertain knowledge, adaptation to new environments and noisy sensors. Representing knowledge as a joint probability distribution increases the possibility for robotics systems to increase their quality of percept

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Robot Finger Design for Developmental Tactile Interactionwpoint. In this paper, a new design principle for tactile sensors is proposed to investigate and to utilize developmental processes of robots. Based on the design principle, an anthropomorphic fingertip is developed. The fingertip is made of soft material with randomly distributed receptors inside.

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北极熊

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Maximizing Learning Progress: An Internal Reward System for Developmentinforce a predefined task. Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. The dynamics created by such a system are studied first in a simple environment and then in the context of active vision.

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Tao Geng Ph.D.,Richard A. Mathies Ph.D. 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.