2 papers
cs.RO2026
Robot Learning from Human Videos: A Survey
Junyi Ma, Erhang Zhang, Haoran Yang +4
A critical bottleneck hindering further advancement in embodied AI and robotics is the challenge of scaling robot data. To address this, the field of learning robot manipulation sk…
cs.LG2026
Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition
Qingyu Wu, Jianfei Shen, Feiyi Fan +3
For low-semantic sensor signals from human activity recognition (HAR), contrastive learning (CL) is essential to implement novel applications or generic models without manual annot…