Generating informative paths for persistent sensing in unknown environments
We present an online algorithm for a robot to shape its path to a locally optimal configuration for collecting information in an unknown dynamic environment. As the robot travels along its path, it identifies both where the environment is changing, and how fast it is changing. The algorithm then mor...
Main Authors: | Soltero, Daniel E., Schwager, Mac, Rus, Daniela L. |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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Online Access: | http://hdl.handle.net/1721.1/90588 https://orcid.org/0000-0001-5473-3566 |
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