Sprache: Englisch
Verlag: Createspace Independent Publishing Platform, 2017
ISBN 10: 1976424011 ISBN 13: 9781976424014
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Paperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 19,45
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Amazon Digital Services LLC - Kdp, 2017
ISBN 10: 1940233453 ISBN 13: 9781940233451
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025126416 ISBN 13: 9781025126418
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - As the military use of unmanned aerial vehicles increases, a growing need for novel strategies to control these systems exists. One such method for controlling many unmanned aerial vehicles simultaneously is the through the use of swarm algorithms. This research explores a swarm robotic algorithm developed by Kadrovach implemented on Pioneer Robots in a real-world environment. An adaptation of his visual sensor is implemented using stereo vision as the primary method of sensing the environment. The swarm members are prohibited from explicitly communicating other than passively through the environment. The resulting implementation produces a communication free swarming algorithm. The algorithm is tested for performance of the visual sensor, performance of the algorithm against stationary targets, and finally, performance against dynamic targets. The results show expected behavior of the swarm model as implemented on the Pioneer robots providing a foundation for future research in swarm algorithms.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025122097 ISBN 13: 9781025122090
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - As the military use of unmanned aerial vehicles increases, a growing need for novel strategies to control these systems exists. One such method for controlling many unmanned aerial vehicles simultaneously is the through the use of swarm algorithms. This research explores a swarm robotic algorithm developed by Kadrovach implemented on Pioneer Robots in a real-world environment. An adaptation of his visual sensor is implemented using stereo vision as the primary method of sensing the environment. The swarm members are prohibited from explicitly communicating other than passively through the environment. The resulting implementation produces a communication free swarming algorithm. The algorithm is tested for performance of the visual sensor, performance of the algorithm against stationary targets, and finally, performance against dynamic targets. The results show expected behavior of the swarm model as implemented on the Pioneer robots providing a foundation for future research in swarm algorithms.