By Eric Meisner, Wei Yang, Volkan Isler (auth.), Gregory S. Chirikjian, Howie Choset, Marco Morales, Todd Murphey (eds.)
This quantity is the end result of the 8th variation of the biennial Workshop on Algorithmic Foundations of Robotics (WAFR). Edited by way of G.S. Chirikjian, H. Choset, M. Morales and T. Murphey, the e-book deals a suite of quite a lot of themes in complex robotics, together with networked robots, dispensed platforms, manipulation, making plans less than uncertainty, minimalism, geometric sensing, geometric computation, stochastic making plans equipment, and scientific applications.
The contents of the forty-two contributions signify a cross-section of the present kingdom of study from one specific element: algorithms, and the way they're encouraged by means of classical disciplines, similar to discrete and computational geometry, differential geometry, mechanics, optimization, operations learn, computing device technological know-how, likelihood and records, and knowledge concept. Validation of algorithms, layout options, or options is the typical thread operating via this concentrated assortment. wealthy through themes and authoritative individuals, WAFR culminates with this exact reference at the present advancements and new instructions within the box of algorithmic foundations.
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Publisher: McGraw-Hill schooling TAB
Publication Date: 2013-04-03
Number of Pages: 416
Website: Amazon, LibraryThing, Google Books
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Additional resources for Algorithmic Foundation of Robotics VIII: Selected Contributions of the Eight International Workshop on the Algorithmic Foundations of Robotics
In this section, we present a strategy for multiple robots to cover a single stripe in a way that minimizes the overhead of meeting to redistribute assignments. Our proposed single stripe strategy ensures that each robot travels the same distance during an epoch, and arrives at a common meeting location. In order to minimize the coverage time of a single stripe, its area must be split equally between all of the active robots. This can be done by simply dividing the strip along the long side to create equal sized rectangular areas, one for each of the active robots.
An instance of the c-center problem can be converted to an instance of MaxObject by creating very small (MINSIZE) polygons for each point, and then creating c sensors which can each view a square of size 2r. Clearly, an algorithm which can solve this instance of MaxObject can also be used to solve the original instance of c-center. MaxObject is thus NP-hard. This theorem demonstrates that finding the aims maximizing the number of viewed potential objects is intractable if the number of overhead sensors is part of the problem input.
14(SI), 2486–2507 (2006) 8. : Multirobot rendezvous with visibility sensors in nonconvex environments. IEEE Transactions on Robotics (November 2006) (to appear) 9. : On synchronous robotic networks - Part II: Time complexity of rendezvous and deployment algorithms. IEEE Transactions on Automatic Control (2007) (to appear) 10. : Randomized Algorithms. Cambridge Press (2000) 11. : Achieving connectivity through coalescence in mobile robot networks. In: International Conference on Robot Communication and Coordination (October 2007) 12.
Algorithmic Foundation of Robotics VIII: Selected Contributions of the Eight International Workshop on the Algorithmic Foundations of Robotics by Eric Meisner, Wei Yang, Volkan Isler (auth.), Gregory S. Chirikjian, Howie Choset, Marco Morales, Todd Murphey (eds.)