الملخص
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Egocentric human data provides a scalable source of experience for robot learning, but varies substantially in human-robot alignment, behavioral coverage, and available supervision. Existing work shows favorable scaling with increasing human data, but it remains unclear which data properties drive downstream robot gains and how to use such data throughout the training pipeline. We present a systematic study of egocentric human data with different alignment and supervision under a unified world-action model framework. With the model backbone fixed, we disentangle the effects of human-robot alignment, data duration and task diversity, action supervision, and data usage strategies. We find that aligned human demonstrations substantially improve out-of-distribution generalization and reduce target-task robot data requirements; data duration and task diversity affect downstream capabilities differently; and video-only supervision remains effective without action labels, providing a strong foundation for subsequent video-action training. We validate these findings through closed-loop policy evaluation on both real robots and RoboDojo. Rather than treating data duration as the sole scaling axis, Ego4WAM shows how alignment, task diversity, available supervision, and usage strategy jointly shape the value of egocentric human data for robot learning.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Sun, Z., Liu, L., Wang, X., Jiang, H., Feng, W., Zhang, H., Jia, X., Su, Z., & Wu, Z. (2026). Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟ https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning
MLA 9
Sun, Zhihao, et al. "Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟" https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning.
شيكاغو (المؤلف–التاريخ)
Sun, Zhihao, Liu Liu, Xinjiang Wang, Haoyi Jiang, Wei Feng, Huiqiang Zhang, Xiaosong Jia, Zhizhong Su, and Zuxuan Wu. 2026. "Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟" https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning.
هارفارد
Sun, Z., Liu, L., Wang, X., Jiang, H., Feng, W., Zhang, H., Jia, X., Su, Z. and Wu, Z. (2026) 'Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟', Available at: https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning.
فانكوفر
Sun Z, Liu L, Wang X, Jiang H, Feng W, Zhang H, et al. Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟ https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning
IEEE
Z. Sun, L. Liu, X. Wang, H. Jiang, W. Feng, H. Zhang, X. Jia, Z. Su, and Z. Wu, "Ego4WAM: ما الذي يهم عند توسيع بيانات البشر من المنظور الذاتي لتعلم الروبوتات؟," https://omanscience.com/ar/articles/ego4wam-what-matters-when-scaling-egocentric-human-data-for-robot-learning.