The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines.The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation.In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.
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Da: suffolkbooks, Center moriches, NY, U.S.A.
hardcover. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week! Codice articolo 3TWOWA002M1F
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Hard Cover. Condizione: Acceptable. No Jacket. Usual ex-library features. The interior is clean and tight. Binding is good. Cover shows light wear. 315 pages. Ex-Library. Codice articolo 119388
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Da: Librairie à la bonne occasion, Lévis, QC, Canada
Hard Cover. Condizione: Good. Condizione sovraccoperta: Good. 315 pages; In this book the general theory of minimal representation multisensor fusion is developed and applied ina series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to htis difficult computational problem. --------------- Hardcover with slightly rubbed dustjacket. Book is clean inside, without any markings and solid. Very good condition. Size: 8vo. Livre. Codice articolo 021006
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