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【分享】Robotic Mapping and Exploration.Springer.2009
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Robotic Mapping and Exploration_Springer Tracts in Advanced Robotics Volume 55 本资源来自于互联网，仅供学习研究之用，不可涉及任何商业用途，请在下载后24小时内删除。 著作权归原作者或出版社所有。未经发贴人conanwj许可，严禁任何人以任何形式转贴本文，违者必究！ Authors(Editors): Cyrill Stachniss Publisher: Springer Pub Date: 2009 Pages: 203 ISBN 978-3-642-01096-5 e-ISBN 978-3-642-01097-2 DOI 10.1007/978-3-642-01097-2 Foreword Simultaneous localization and mapping is a highly important and active area in mobile robotics. The ability to autonomously build maps is widely regarded as one of the fundamental preconditions for truly autonomous mobile robots. In the past, the SLAM has mostly been addressed as a state estimation problem and the incorporation of control into the map learning and localization process is a highly interesting research question. In this book by Cyrill Stachniss, the reader will find interesting and innovative solutions to the problem of incorporating control into the SLAM problem. I know Cyrill since over eight years and I still appreciate his enthusiasm in developing new ideas and getting things done. He has been working with a large number of different robots, participating in several public demonstrations, and has gained a lot of experience which can also be seen from his large number of papers presented at all major robotic conferences and in journals. His work covers a variety of different topics. He has acquired several project grants and received several awards. He furthermore is an associate editor of the IEEE Transactions on Robotics. It’s safe to say that he is an expert in his field. This book is a comprehensive introduction to state-of-the-art technology in robotic exploration and map building. The reader will find a series of solutions to challenging problems robots are faced with in the real world when they need to acquire a model of their surroundings. The book focuses on autonomy and thus the robot is not supposed to be joysticked though the world but should be able to decide about his actions on its own. I regard the ability to learn maps by making own decisions as a key competence for autonomous robots. Cyrill rigorously applies probabilistic and decision-theoretic concepts to systematically reducing the uncertainty in the belief of a robot about its environment and its pose in the environment. The book contains impressively demonstrates the capabilities of the described solutions by showing results obtained from real robotic datasets. A further strength lies in the sound and thorough evaluation of all presented techniques going beyond the world of simulation. At this point, I would like to encourage the reader to follow Cyrill’s example to take real robots and data obtained with real robots to demonstrate that novel approaches work in reality. For readers not in possession of particular sensors or for comparison purposes, Cyrill and colleagues have created a Web site (https://www.openslam.org/) in which the community can share implementations of SLAM approaches and where the reader will find links to datasets to support future research. Freiburg, Germany February 2009 Wolfram Burgard 本资源5.53 MB。 -------------------------------------------------------------------------------------------------------- Robotic Mapping and Exploration_Springer Tracts in Advanced Robotics Volume 55.Cyrill Stachniss.Springer.2009 Robotic Mapping and Exploration_Springer Tracts in Advanced Robotics Volume 55.Cyrill Stachniss.Springer.2009 -------------------------------------------------------------------------------------------------------- |
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