This project, led by AIST's AIRC whose CNRS-AIST JRL is partner together with Tokyo Tech aims at leveraging the large learning models for 3D human learning, High-level object recognition and robot exploration, learned feature maps-based visual servoing.
タイトル | 著者 | 学会/論文誌 | 年 | bib | |
A Study on Learned Feature Maps Toward Direct Visual Servoing | M. Quaccia, A. André, Y. Yoshiyasu, G. Caron | IEEE/SICE International Symposium on System Integration | 2024 |