Adam D Hines — accepted AI-conference papers

2026

Event-LAB: Towards Standardized Evaluation of Neuromorphic Localization Methods

Adam D. Hines, Alejandro Fontan, Michael J Milford, Tobias Fischer

ICRA 2026poster

Event-based localization research and datasets are a rapidly growing area of interest, with a tenfold increase in the cumulative total number of published papers on this topic over the past 10 years. Whilst the rapid expansion in the field is exciting, it brings with it an associated challenge: a gr…

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2024

VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition

Adam D Hines, Peter G Stratton, Michael Milford, Tobias Fischer

ICRA 2024poster

Spiking Neural Networks (SNNs) are at the forefront of neuromorphic computing thanks to their potential energy-efficiency, low latencies, and capacity for continual learning. While these capabilities are well suited for robotics tasks, SNNs have seen limited adaptation in this field thus far. This w…

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