Justin Hart
UT Austin CS · Assistant Professor of Practice
Research focus: human-robot interaction · service robots · semantic mapping · foundation models for robotics
保护项目第 5 项：构建基于 human-robot interaction、service robots、semantic mapping、foundation models for robotics、social navigation、LLM 驱动的机器人；引用一个可见的实验室主题、校友/就业模式、基准信号、当前学生名单、招募/状态警告或项目领域，并提出一项具体的第一学期研究扩展。
Who this advisor fits / 什么情况下适合你
- You want ML tied to real data and deployable problems (signal: human-robot interaction · service robots).
- Applicants should demonstrate robotics/HRI research, real robot deployment, and publications or serious submissions in ICRA, IROS, HRI, or RO-MAN.
- 你想把 ML 接到真实数据与落地问题（当前信号：human-robot interaction · service robots）。
- 申请人应展示机器人智能（Robotics Intelligence）领域研究、机器人部署实践以及发表在 ICRA、IROS、HRI 或 RO-MAN 等会议上的实质性论文或投稿。
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
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。
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