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Adaptive State

Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state

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Bibliographic Details
Main Author: Petereit, Janko (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2016
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
Subjects:
obstacle avoidance
Pfadplanung
motion planning
autonomes Fahren
HindernisvermeidungMobile robots
path planning
Mobile Roboter
Bewegungsplanung
autonomous driving
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary:Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state
Physical Description:1 electronic resource (XXV, 241 p. p.)
ISBN:KSP/1000058693
9783731505808
Access:Open Access

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