2 papers
cs.AI2026
Learning to Compose: Recursive Self-Improvement of Shared Executable Stacks for Zero-Shot Long-Horizon Robot Manipulation
Yangzhi Chen, Feiran Liu, Zishuo Wang +4
Individually competent robot skills can fail when composed: tools may lack a required capability, completion signals may misrepresent physical progress, and one skill may leave a s…
cs.RO2026
τ: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision
Ning Cheng, Jinan Xu, Wanlin Li +5
Incorporating tactile sensing into Vision-Language-Action (VLA) models holds promise for contact-rich manipulation, where visual observations alone often fail to capture critical c…