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Titlebook: Robot Intelligence; An Advanced Knowledg Honghai Liu,Dongbing Gu,Yonghuai Liu Book 2010 Springer-Verlag London Limited 2010 artificial inte

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书目名称Robot Intelligence
副标题An Advanced Knowledg
编辑Honghai Liu,Dongbing Gu,Yonghuai Liu
视频video
概述Recent innovations on robot learning and adaptive methods.Advanced knowledge-based qualitative reasoning.Integration of robot learning and robot control.Includes supplementary material:
丛书名称Advanced Information and Knowledge Processing
图书封面Titlebook: Robot Intelligence; An Advanced Knowledg Honghai Liu,Dongbing Gu,Yonghuai Liu Book 2010 Springer-Verlag London Limited 2010 artificial inte
描述Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.
出版日期Book 2010
关键词artificial intelligence; autonom; communication; genetic programming; hidden markov model; intelligence; k
版次1
doihttps://doi.org/10.1007/978-1-84996-329-9
isbn_softcover978-1-4471-2582-2
isbn_ebook978-1-84996-329-9Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightSpringer-Verlag London Limited 2010
The information of publication is updating

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,Obstacle Detection Using Cross-Ratio and Disparity Velocity,ne are acquired by a standard video camera. Using epipolar constraints between the two views, detected features are matched to compute the camera motion and reconstruct the 3-D geometry. Assuming the ground is planar, projective invariance of the cross-ratio and the presence or absence of significan
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Learning and Vision-Based Obstacle Avoidance and Navigation,. The calibration parameters are obtained by optimizing an objective function about the sum of the back projection errors using the LM algorithm. Also the distorted images are corrected by using the LM algorithm. A comparative study based on both synthetic data and real images corrupted by noise sho
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,A Leader-Follower Flocking System Based on Estimated Flocking Center,ity members are the group followers who do not have global trajectory information, but can communicate with neighbors. The followers even do not know who the leaders are in the group. In order to keep the flocking group connected, all the group members estimate the position of flocking center by usi
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