Neuromorphic sequence learning with an event camera on routes through vegetation
For many robotics applications, it is desirable to have relatively low-power and efficient onboard solutions. We took inspiration from insects, such as ants, that are capable of learning and following routes in complex natural environments using relatively constrained sensory and neural systems. Suc...
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| Published in: | Science robotics Vol. 8; no. 82; p. eadg3679 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
27.09.2023
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| ISSN: | 2470-9476, 2470-9476 |
| Online Access: | Get more information |
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