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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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Hovedforfatter: Petereit, Janko
Format: Online
Sprog:engelsk
Udgivet: KIT Scientific Publishing 2021
Fag:
QA75.5-76.95
obstacle avoidance
Pfadplanung
motion planning
autonomes Fahren
HindernisvermeidungMobile robots
path planning
Mobile Roboter
Bewegungsplanung
autonomous driving
bic Book Industry Communication::U Computing & information technology::UY Computer science
Online adgang:35194
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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

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