Daniel Seita
USC — Thomas Lord Department of Computer Science (Viterbi) · Assistant Professor
Research focus: robot learning · computer vision for manipulation · deformable-object manipulation · RL
手动审核申请准备：构建基于保护 2 的拟合路径，围绕保护 1、保护 0 构建基础模型，针对机器人操控与变形物体机器人进行开发；请提及一个近期论文或项目，并说明您计划在第一个学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Very useful for robotics applicants who will tailor emails well and can show hands-on manipulation/vision experiments; do not expect mature alumni placement statistics yet.
- 适用于机器人类cs申请人的建议：他们有望在ai或ai方面表现出色，并能展示动手操作和视觉实验；请不必期待成熟校友的就业统计cs。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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