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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 21,97
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Behavior-Based Power Management in Autonomous Mobile Robots. Book.
Lingua: Inglese
Editore: Creative Media Partners, LLC, 2025
ISBN 10: 1025090799 ISBN 13: 9781025090795
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 18,94
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025090799 ISBN 13: 9781025090795
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 27,41
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware.
Lingua: Inglese
Editore: Creative Media Partners, LLC, 2025
ISBN 10: 1025090799 ISBN 13: 9781025090795
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 17,83
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Lingua: Inglese
Editore: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025088638 ISBN 13: 9781025088631
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,41
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 101,10
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Creative Media Partners, LLC, 2025
ISBN 10: 1025088638 ISBN 13: 9781025088631
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 33,28
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 22,84
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Lingua: Inglese
Editore: Creative Media Partners, LLC, 2025
ISBN 10: 1025088638 ISBN 13: 9781025088631
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 30,88
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Majestic Books, Hounslow, Regno Unito
EUR 36,22
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 35,38
Quantità: 4 disponibili
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Da: CitiRetail, Stevenage, Regno Unito
EUR 21,99
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Current attempts to prolong a robot's battery life focus on outdated techniques that have high overhead and are not built in to the underlying robotic architecture. In this thesis, battery life is extended through development of a behavior-based power management system, including a Markov decision process (MDP) power planner. This system examines sensors needed by the currently active behavior set and powers down those not required. Predictive power planning models the domain as an MDP problem in the Deliberator. The planner creates a power policy that accounts for current and future power requirements in stochastic domains. This provides a power plan that uses lower-power consuming devices at the start of a goal sequence in order to save power for the areas where higher-power consuming sensors are needed. Power savings are observed in two case studies: Low and high sensor intensity environments. Testing reveals that in a real life scenario involving multiple goals and multiple sensors, the robot's battery charge can be extended up to 96% longer when using this system over robots that rely on traditional power management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 68,92
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 102.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand pp. 102.
Da: CitiRetail, Stevenage, Regno Unito
EUR 35,07
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Current attempts to prolong a robot's battery life focus on outdated techniques that have high overhead and are not built in to the underlying robotic architecture. In this thesis, battery life is extended through development of a behavior-based power management system, including a Markov decision process (MDP) power planner. This system examines sensors needed by the currently active behavior set and powers down those not required. Predictive power planning models the domain as an MDP problem in the Deliberator. The planner creates a power policy that accounts for current and future power requirements in stochastic domains. This provides a power plan that uses lower-power consuming devices at the start of a goal sequence in order to save power for the areas where higher-power consuming sensors are needed. Power savings are observed in two case studies: Low and high sensor intensity environments. Testing reveals that in a real life scenario involving multiple goals and multiple sensors, the robot's battery charge can be extended up to 96% longer when using this system over robots that rely on traditional power management.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 70,01
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 102.