Improving path planning of autonomous vacuum cleaners using obstacle classification
To effectively plan their movement, robotic vacuum cleaners require information about their surrounding environment. This thesis presents a mapping algorithm which uses collision input from a moving robot to create a grid map of the environment. The algorithm also classifies each obstacle cell in th...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229471 |