Adaptive Route Memory Sequences for Insect-Inspired Visual Route Navigation
Efstathios Kagioulis, James Knight, Paul Graham, Thomas Nowotny, Andrew Philippides · 2024
Read Adaptive Route Memory Sequences for Insect-Inspired Visual Route Navigation by Efstathios Kagioulis, James Knight, Paul Graham, Thomas Nowotny, Andrew Philippides (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11673725.txt.
Description
Efstathios Kagioulis and co-authors give ant-inspired robot navigation a memory of sequence, not just snapshots. Familiarity-based algorithms store panoramic views along a training walk, then steer by comparing what the camera sees now against the archive. Ants, however, experience views in order, and order itself carries navigational information.
Instead of searching the whole archive, the method compares the current view only against a moving window of memories near the expected position. The window advances without any odometer, as ants manage. Tests show sequence awareness sharpens route following and cuts computation. For small robots in orchards, warehouses, or disaster rubble, cheap visual memory that respects order is a practical compass.
Catalog record
| CREATOR | Efstathios Kagioulis, James Knight, Paul Graham, Thomas Nowotny, Andrew Philippides |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |