Design and Control of Intelligent Robotic Systems by M. Begum, F. Karray (auth.), Dikai Liu, Lingfeng Wang, Kay

By M. Begum, F. Karray (auth.), Dikai Liu, Lingfeng Wang, Kay Chen Tan (eds.)

With the expanding purposes of clever robot structures in quite a few fields, the layout and keep watch over of those platforms have more and more attracted curiosity from researchers. This edited publication entitled “Design and regulate of clever robot platforms” within the e-book sequence of “Studies in Computational Intelligence” is a suite of a few complex examine on layout and keep watch over of clever robots. The works awarded diversity in scope from layout methodologies to robotic improvement. quite a few layout techniques and algorithms, akin to evolutionary computation, neural networks, fuzzy common sense, studying, and so forth. are incorporated and such a lot stories mentioned during this e-book were applied in actual platforms. The meant readers of this edited publication are engineers, researchers, senior undergraduates, and graduate scholars who're drawn to the sector of layout and keep watch over of clever robot systems.

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Extra resources for Design and Control of Intelligent Robotic Systems

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In: IEEE International Conference on Computer Vision Systems, pp. 20–26 (2006) 122. : A saliency based search mechanism for overt and covert shift of visual attention. Vision Research 40, 1489–1506 (2000) 123. : Spatial attention and saccadic camera motion. In: IEEE International Conference on Robotics and Automation, pp. 3247–3252 (1998) 26 M. Begum and F. Karray 124. : A motivational system for regulating human robot interaction. In: National conference of AAAI, pp. 54–61 (1998) 125. : A context and task dependent visual attention system to control a mobile robot.

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54–61 (1998) 125. : A context and task dependent visual attention system to control a mobile robot. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 238–243 (2002) 126. : Neural networks for visual object recognition based on selective attention. In: International SenseMaker Workshop on Life-Like Perception Systems (2005) 127. : Learning object recognition in a neurobotic system. In: Workshop on Self Organization of AdaptiveBehavior SOAVE, pp. 198– 204 (2004) 128. : A two-stage scheme for visual object recognition based on selective attention.

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