INSAIT-Institute/

ReVLA-Bridge

This is the ReVLA model, finetuned on the Bridge Dataset

ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models, accepted at ICRA 2025

Acknowledgements: INSAIT, Sofia University “St. Kliment Ohridski”. Partially funded by the Ministry of Education and Science of Bulgaria’s support for INSAIT as part of the Bulgarian National Roadmap for Research Infrastructure. This project was further supported with computational resources provided by Google Cloud Platform (GCP)