2 papers
cs.RO2026
How to Better Train VLAs: Lessons Learned From the REAL-I Challenge at ICRA 2026
Jiaming Wang, Jizhuo Chen, Diwen Liu +11
How can robot policies learn more effectively from a fixed demonstration budget? The first Real-world Embodied AI Learning (REAL-I) Challenge at ICRA 2026 examined this question th…
cs.RO2026
ReTac-ACT: A State-Gated Vision-Tactile Fusion Transformer for Precision Assembly
Minchi Ruan, LiangQing Zhou, Hongtong Li +4
Precision assembly requires sub-millimeter corrections in contact-rich "last-millimeter" regions where visual feedback fails due to occlusion from the end-effector and workpiece. W…