Anirudha Majumdar
Princeton CS · Associate Professor of Mechanical and Aerospace Engineering; Associated Faculty in Computer Science
Research focus: robot learning · safe and trustworthy robots · large-scale robot policies · robot alignment
人工审核申请准备：申请人应展示机器人能力 Anirudha Majumdar，同时具备安全纪律：政策学习、评估/红队演练、规划与控制、仿真到现实验证或人本化泛化。
Who this advisor fits / 什么情况下适合你
- Applicants should show robotics ML with safety discipline: policy learning, evaluation/red-teaming, planning/control, sim-to-real validation, or human-centered generalization.
- 申请人应展示机器人cs与ML，并遵循安全纪律：政策学习、评估/红队演练、规划与控制、仿真到真实验证或人本化泛化。
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
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.