"Robotic Mapping and Exploration" is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous robots, which has been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the autonomous mapping learning problem. Solutions include uncertainty-driven exploration, active loop closing, coordination of multiple robots, learning and incorporating background knowledge, and dealing with dynamic environments. Results are accompanied by a rich set of experiments, revealing a promising outlook toward the application to a wide range of mobile robots and field settings, such as search and rescue, transportation tasks, or automated vacuum cleaning.
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语言 英语 ● 格式 PDF ● ISBN 9783642010972 ● 出版者 Springer Berlin Heidelberg ● 发布时间 2009 ● 下载 3 时 ● 货币 EUR ● ID 2170377 ● 复制保护 Adobe DRM
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