Decentralized path planning for coverage tasks using gradient descent adaptive control
In this paper we propose a new path planning algorithm for coverage tasks in unknown environments that does not rely on recursive search optimization. Given a sensory function that captures the interesting locations in the environment and can be learned, the goal is to compute a set of closed paths...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications
2021
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| Online Access: | https://hdl.handle.net/1721.1/134288 |