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Shintaro Nakaoka

2 accepted papers

2026

D-CLING: Prior-Preserving Depth-Conditioned Fine-Tuning for Navigation Foundation Models

ICRA 2026poster

Navigation Foundation Models (NFMs) trained on large, cross-embodied datasets have demonstrated powerful generalizability on various scenarios. Adopting in-domain fine-tuning upon an NFM efficiently calibrates the visuomotor policy, promising further improvement even in a novel scenario. However, th…

2024

CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps

ICRA 2024poster

This paper describes a multi-modal data association method for global localization using object-based maps and camera images. In global localization, or relocalization, using object-based maps, existing methods typically resort to matching all possible combinations of detected objects and landmarks…

Cited by 8SourceScholar