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Policy-Based Planning for Robust Robot Navigation

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서명/저자사항Policy-Based Planning for Robust Robot Navigation.
개인저자Goeddel, Robert T.
단체저자명University of Michigan. Computer Science and Engineering.
발행사항[S.l.]: University of Michigan., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항117 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438126596
학위논문주기Thesis (Ph.D.)--University of Michigan, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Edwin Olson.
요약This thesis proposes techniques for constructing and implementing an extensible navigation framework suitable for operating alongside or in place of traditional navigation systems. Robot navigation is only possible when many subsystems work in t
요약Our first contribution is Direction Approximation through Random Trials (DART), a method for generating human-followable navigation instructions optimized for followability instead of traditional metrics such as path length. We show how this str
요약DART depends on the existence of a set of behaviors and switching conditions describing ways the robot can move through an environment. In the remainder of this thesis, we present methods for learning these behaviors and conditions in indoor env
요약Additionally, we suggest a subset of behaviors that provide DART with a sufficient set of actions to navigate in most indoor environments and introduce a method to learn these behaviors from teleloperated demonstrations. Our method learns a cost
요약This work was motivated by the weaknesses and brittleness of many state-of-the-art navigation systems. Reliable navigation is the foundation of any mobile robotic system. It provides access to larger work spaces and enables a wide variety of tas
요약The work presented in this thesis is intended to augment or replace traditional navigation systems to mitigate concerns about scalability and reliability by considering the effects of navigation failures for particular actions. By considering th
일반주제명Computer science.
Robotics.
언어영어
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