Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles
(Sprache: Englisch)
Alexander Schaub examines how a reactive instinctive behavior, similar to instinctive reactions as incorporated by living beings, can be achieved for intelligent mobile robots to extend the classic reasoning approaches. He identifies possible applications...
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Alexander Schaub examines how a reactive instinctive behavior, similar to instinctive reactions as incorporated by living beings, can be achieved for intelligent mobile robots to extend the classic reasoning approaches. He identifies possible applications for reactive approaches, as they enable a fast response time, increase robustness and have a high abstraction ability, even though reactive methods are not universally applicable. The chosen applications are obstacle avoidance and relative positioning - which can also be utilized for navigation - and a combination of both. The implementation of reactive instinctive behaviors for the identified tasks is then validated in simulation together with real world experiments.Inhaltsverzeichnis zu „Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles “
Why Mobile Robots Should Have an Artificial Instinct.- Vision-Based Reactive Controllers.- Evaluation in Real World Tests and in Simulation.
Autoren-Porträt von Alexander Schaub
Alexander Schaub joined the Robotics and Mechatronics Center of the German Aerospace Center (DLR) in 2009 and worked in the development of a robotic electric vehicle and researched in the field of vision-based control and reactive instinctive behaviors for autonomous vehicle. In 2017, he started an MBA at HEC Paris and will continue working in the field of autonomous driving afterwards.
Bibliographische Angaben
- Autor: Alexander Schaub
- 2017, 1st ed. 2018, XV, 267 Seiten, 123 farbige Abbildungen, Masse: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658190868
- ISBN-13: 9783658190866
- Erscheinungsdatum: 27.07.2017
Sprache:
Englisch
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