Serena Booth

Robotics Research Scientist - MIT

Cambridge, MA

Research Expertise

human-robot interaction
Artificial Intelligence
reward design
explainable AI
Computer Science Applications
Linguistics and Language
Language and Linguistics
Earth-Surface Processes

About

Serena Booth is a research scientist at the Massachusetts Institute of Technology. She received her Ph.D. in robotics from MIT in 2024 and her BS in computer science from Harvard University in 2016. Her research focuses on developing new methods for robotic control and learning.

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Publications

Piggybacking Robots
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
2017
Do Feature Attribution Methods Correctly Attribute Features?
Proceedings of the AAAI Conference on Artificial Intelligence
2022
IEEE P7001: A Proposed Standard on Transparency
Frontiers in Robotics and AI
2021
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI)
Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
2020
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
Proceedings of the AAAI Conference on Artificial Intelligence
2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
2021
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
2019
The Irrationality of Neural Rationale Models
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)
2022
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
Proceedings of the AAAI Conference on Artificial Intelligence
2021
Efficient Robot Motion Planning via Sampling and Optimization
2021 American Control Conference (ACC)
2021
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
2022
Reward (Mis)design for autonomous driving
Artificial Intelligence
2023
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
2020
Build confidence and acceptance of AI-based decision support systems - Explainable and liable AI
2020 13th International Conference on Human System Interaction (HSI)
2020
FINDING VALUE WHERE NONE EXISTS: PITFALLS IN USING ADJUSTED PRESENT VALUE
Journal of Applied Corporate Finance
2002
Fly motion vision: from optic flow to visual course control
e-Neuroforum
2012

Education

Massachusetts Institute of Technology

PhD, Robotics / 2024 (anticipated)

Cambridge, Massachusetts, United States of America

Harvard University

BS, Computer Science / 2016

Cambridge, Massachusetts, United States of America

Experience

MIT

Research Scientist / 2018Present

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