Kiyanoush Nazari, Luchen Li, Haoshu Fang, Nima Fazeli, Zhibin Li, Fumiya Iida, Thomas George Thuruthel
This page provides a curated collection of research papers on learning-based tactile robotic manipulation, compiled as part of our comprehensive review of the field. The database covers key research areas, including tactile representation learning, tactile-conditioned policy learning, foundation models, adaptive control, and generalization. Each entry includes relevant information and links to publications, project websites, code repositories, and other available resources. We aim to provide an accessible and useful resource for researchers exploring advances in tactile robot learning.