Air25_acceptance

Excited to share that our paper “Towards Global Localization using Multi-Modal Object-Instance Re-Identification” has been accepted at ACM/Advances in Robotics 2025 (AIR25) for an oral presentation!

This work presents a novel approach to robot localization using multi-modal object instance re-identification. We demonstrate how recognizing and tracking object instances across different modalities can enable robust global localization in challenging environments.

Check out our project page for more details, videos, and the paper!