Yuchen Cui
UCLA CS AI / ML · Assistant Professor of Computer Science
Research focus: robot learning · machine learning · human-robot interaction · interactive learning
手动申请准备审计：作为机器人学习 / 人机交互（HRI）申请者，学习从人类交互、反馈、操纵或机器人系统 embodied AI、interactive learning 或 ML 中获取知识。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: robot learning · machine learning).
- Strong fit for applicants with robot learning, HRI, embodied AI, manipulation, or learning-from-human-interaction evidence; explicit PhD recruiting guidance is available.
- 你想把 ML 接到真实数据与落地问题（当前信号：robot learning · machine learning）。
- 适用于具有 robot learning、HRI、embodied AI、操纵或从人类交互中学习证据的申请者；PhD招募指导明确且可获取。
What to watch for / 什么情况下要慎重
- You want pure theory ML with little domain data or cross-disciplinary collaboration.
- 你要的是纯理论 ML、几乎不碰领域数据或跨学科合作。
Public evidence as of 2026-06-10
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