Robot Path Planning and Cooperation: Foundations, Algorithms and Experimentations (Studies in Computational Intelligence)
暫譯: 機器人路徑規劃與協作:基礎、演算法與實驗(計算智慧研究)
Anis Koubaa, Hachemi Bennaceur, Imen Chaari, Sahar Trigui, Adel Ammar, Mohamed-Foued Sriti, Maram Alajlan, Omar Cheikhrouhou, Yasir Javed
- 出版商: Springer
- 出版日期: 2018-04-13
- 售價: $7,100
- 貴賓價: 9.5 折 $6,745
- 語言: 英文
- 頁數: 190
- 裝訂: Hardcover
- ISBN: 3319770403
- ISBN-13: 9783319770406
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相關分類:
機器人製作 Robots、Algorithms-data-structures
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商品描述
This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.
商品描述(中文翻譯)
本書對機器人學中的兩個主要問題進行了廣泛的研究:路徑規劃問題和多機器人任務分配問題。這是第一本提供在包含隨機散佈障礙物的大型環境中使用這些技術的綜合解決方案的書籍。所進行的研究在理論和實踐上都產生了具體的成果。在路徑規劃方面,針對大型問題設計並實現了新的演算法,並將其整合到機器人操作系統(Robot Operating System, ROS)中。本書還討論了雲計算技術在解決路徑規劃問題上的平行性優勢,而在多機器人任務分配方面,則針對任務分配問題和多旅行推銷員問題(multiple traveling salesman problem)進行了探討,特別是針對移動機器人的應用。此外,還設計了四個新的演算法,以調查合作問題,並進行了廣泛的模擬和比較性能評估。這些演算法在MATLAB和Webots中實現並模擬。