Titlebook: Biologically Inspired Robot Behavior Engineering; Richard J. Duro,José Santos,Manuel Graña Book 2003 Springer-Verlag Berlin Heidelberg 200

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https://doi.org/10.1007/978-3-642-72034-5 to modulate their behavior accordingly. In doing so we will discuss the problems that these systems should be able to solve and the processes that might lead to a transition from simple agents that only rely on sensory information or on their internal dynamic to systems that are also able to integrate information over time.

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Computing the Optimal Trajectory of Arm Movement: The TOPS (Task Optimization in the Presence of Sitting as well as to simple point-to-point reaching movements. Estimation of the optimal trajectories using computer simulations showed that in the case of a moving target, the trajectories estimated by this model are very different from those estimated by the minimum jerk model.

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https://doi.org/10.1007/978-3-642-72034-5tended to accelerate the learning of behaviors. We describe the use of our neurocontroller in three navigation tasks, each involving a different kind of sensor: 1) obstacle avoidance using infra-red proximity sensors, 2) foraging using a color CCD camera, and 3) wall-following using a grey-level linear vision system.

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Ronald P. A. Petrick,Mary Ellen Fosteructures that work on real robots operating in real environments and to be able to obtain them as independent of the platform as possible. To address this problem we have introduced the concept of virtual sensors and effectors in behaviour based architectures and studied different approaches to automatically obtain them.