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
TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging
Shengzhuo Yang, Ronghao Yu, Chuanjie Lv +5
Vision-language-action (VLA) models aim to understand natural-language instructions and visual observations, and to generate and execute corresponding actions as embodied agents. R…