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This capability significantly enhances the fluidity of human\u2010robot communication and the precision of emotional expression. However, current methods rely heavily on pre\u2010programmed behavioral patterns, which are manually implemented at considerable cost in both time and human labor. To enable humanoid robots to autonomously acquire generalized expressive capabilities, they must learn human\u2010like expressions via self\u2010supervised training. To address this challenge, we present a highly biomimetic robotic face equipped with physically actuated electronic facial units, alongside an end\u2010to\u2010end learning framework that integrates Kolmogorov\u2010Arnold Networks (KAN) with attention mechanisms. In contrast to previous approaches, we have also developed an automated data collection system guided by expert\u2010designed facial motion primitives, enabling the construction of a high\u2010quality dataset. Notably, to the best of our knowledge, this constitutes the first facial expression dataset specifically designed for humanoid social robots. Extensive evaluations demonstrate that our method enables accurate and diverse facial mimicry across a range of test subjects.<\/jats:p>","DOI":"10.1002\/cpe.70554","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T05:17:18Z","timestamp":1770095838000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Toward Enabling Facial Emotional Expressions in Humanoid Robots"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0172-8054","authenticated-orcid":false,"given":"Yongtong","family":"Zhu","sequence":"first","affiliation":[{"name":"Institute of Machine Intelligence University of Shanghai for Science and Technology  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Machine Intelligence University of Shanghai for Science and Technology  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Hong","sequence":"additional","affiliation":[{"name":"Institute of Machine Intelligence University of Shanghai for Science and Technology  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiye","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Machine Intelligence University of Shanghai for Science and Technology  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9928-7272","authenticated-orcid":false,"given":"Qingdu","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Machine Intelligence University of Shanghai for Science and Technology  Shanghai China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Gao","sequence":"additional","affiliation":[{"name":"Mech\u2010Mind Robotics Technologies Co. 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