Sotabase

Career

· Assistant Professor, MIT Department of Aeronautics and Astronautics and CSAIL2025–
· Research Scientist, MIT Robotics & AI Institute2025–
· Intern, NVIDIA Robotics Lab2025–
· Boeing Assistant Professor, Massachusetts Institute of Technology2024–
· Research Scientist, MIT Massachusetts Institute of Technology2023–
· Research Scientist, The AI Institute2023–
· Research Intern, NVIDIA Research, Robotics Group2021–
· Mentor in Women in Science and Engineering, UC Berkeley2016–
· Research Scientist, MIT AeroAstro
· Assistant Professor, MIT CSAIL
· Graduate Student, MIT (Undergraduate in Computer Science)

Publications (33)

Getting aligned on representational alignment
Trans. Mach. Learn. Res. · 2023
140
cited
Adapting to Continuously Shifting Domains
International Conference on Learning Representations · 2018
91
cited
LESS is More: Rethinking Probabilistic Models of Human Behavior
IEEE/ACM International Conference on Human-Robot Interaction · 2020
53
cited
Patch-Based Discrete Registration of Clinical Brain Images
Patch-MI@MICCAI · 2016
53
cited
Feature Expansive Reward Learning: Rethinking Human Input
IEEE/ACM International Conference on Human-Robot Interaction · 2020
47
cited
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
International Conference on Learning Representations · 2024
47
cited
Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections
IEEE Transactions on robotics · 2020
42
cited
Inducing structure in reward learning by learning features
Int. J. Robotics Res. · 2022
33
cited
Learning under Misspecified Objective Spaces
Conference on Robot Learning · 2018
32
cited
Situational Confidence Assistance for Lifelong Shared Autonomy
IEEE International Conference on Robotics and Automation · 2021
32
cited
Aligning Robot and Human Representations
arXiv.org · 2023
25
cited
SIRL: Similarity-based Implicit Representation Learning
IEEE/ACM International Conference on Human-Robot Interaction · 2023
22
cited
Aligning Human and Robot Representations
IEEE/ACM International Conference on Human-Robot Interaction · 2023
19
cited
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
International Conference on Machine Learning · 2023
17
cited
Learning Perceptual Concepts by Bootstrapping From Human Queries
IEEE Robotics and Automation Letters · 2021
17
cited
Teaching Robots to Span the Space of Functional Expressive Motion
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
16
cited
Preference-Conditioned Language-Guided Abstraction
IEEE/ACM International Conference on Human-Robot Interaction · 2024
12
cited
Dynamically Switching Human Prediction Models for Efficient Planning
IEEE International Conference on Robotics and Automation · 2021
9
cited
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
arXiv.org · 2022
7
cited
Adaptive Language-Guided Abstraction from Contrastive Explanations
Conference on Robot Learning · 2024
6
cited
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Andreea Bobu | Researcher Profile | Sotabase | Sotabase