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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| Superior document: | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe |
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| Year of Publication: | 2016 |
| Language: | English |
| Series: | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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| Physical Description: | 1 electronic resource (XXV, 241 p. p.) |
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| 506 | |a Open access |f Unrestricted online access |2 star | ||
| 520 | |a 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 | ||
| 546 | |a English | ||
| 653 | |a obstacle avoidance | ||
| 653 | |a Pfadplanung | ||
| 653 | |a motion planning | ||
| 653 | |a autonomes Fahren | ||
| 653 | |a HindernisvermeidungMobile robots | ||
| 653 | |a path planning | ||
| 653 | |a Mobile Roboter | ||
| 653 | |a Bewegungsplanung | ||
| 653 | |a autonomous driving | ||
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