Nathan Dennler

Massachusetts Institute of Technology · United States

AI & ML Human-Computer Interaction Robotics

简介

I address this problem through two research directions to align robots with users’ preferences: (1) learning user models and robot policies through implicit communication (e.g., interface interactions, engagement, or robot design) and (2) developing data-efficient algorithms that allow users to explicitly customize robot policies. I evaluate my approaches using real robots that interact with real users to address real problems—especially assistive robots for users with limited mobility. I also enjoy building open-source tools (e.g., PyLips and The MUFaSAA Dataset) to support robotics researchers and hobbyists.

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。