Category: Brain Inspired Localization

How to build efficient robot navigation inspired by honeybee learning flights?

Dequan Ou, Jesse J. Hagenaars, Maciej R. Jankowski, Michiel V. M. Firlefyn, Christophe De Wagter, Florian T. Muijres, Jacqueline Degen & Guido C. H. E. de Croon. Efficient robot navigation inspired by honeybee learning flights. Nature (2026). https://doi.org/10.1038/s41586-026-10461-3

Abstract…

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How human, animals, robots encode and recall place?

Michael Milford and Tobias Fischer. Going Places: Place Recognition in Artificial and Natural Systems. Annu. Rev. Control Robot. Auton. Syst. 2026. 9:7.1-7.27:1–28. https://doi.org/10.1146/annurev-control-032724-014418

Abstract

Place recognition—the ability to identify previously visited locations—is critical for both biological navigation and

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How to build a fully neuromorphic localization system capable of large-scale, on-device deployment for energy-efficient robotic place recognition?

Adam D. Hines, Michael Milford, Tobias Fischer. A compact neuromorphic system for ultra–energy-efficient, on-device robot localization. Sci. Robot.10, eads3968(2025).DOI:10.1126/scirobotics.ads3968

Abstract
Neuromorphic computing offers a transformative pathway to overcome the computational and energy challenges faced in deploying robotic localization

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