Humanoid Therapy Robot for Encouraging Exercise in Dementia Patients. - Mariah Schrum; Chung Hyuk Park; Ayanna M. Howard (HRI, 2019)

Human Trust After Robot Mistakes: Study of the Effects of Different Forms of Robot Communication. - Sean Ye; Glen Neville; Mariah Schrum; Matthew C. Gombolay; Sonia Chernova; Ayanna M. Howard (RO-MAN, 2019)

An Efficient Production Process for Extracting Salivary Glands from Mosquitoes. - Mariah Schrum; Amanda Canezin; Sumana Chakravarty; Michelle Laskowski; Suat Coemert; Yunuscan Sevimli; Gregory S. Chirikjian; Stephen L. Hoffman; Russell H. Taylor (CoRR, 2019)

Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies. - Mariah L. Schrum; Michael Johnson; Muyleng Ghuy; Matthew C. Gombolay (HRI (Companion), 2020)

When Your Robot Breaks: Active Learning During Plant Failure. - Mariah L. Schrum; Matthew C. Gombolay (IEEE Robotics Autom. Lett., 2020)

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. - Mariah L. Schrum; Glen Neville; Michael Johnson; Nina Moorman; Rohan R. Paleja; Karen M. Feigh; Matthew C. Gombolay (HRI, 2021)

Improving Robot-Centric Learning from Demonstration via Personalized Embeddings. - Mariah L. Schrum; Erin Hedlund; Matthew C. Gombolay (CoRR, 2021)

A Mosquito Pick-and-Place System for PfSPZ-Based Malaria Vaccine Production. - Henry Phalen; Prasad Vagdargi; Mariah L. Schrum; Sumana Chakravarty; Amanda Canezin; Michael Pozin; Suat Coemert; Iulian Iordachita; Stephen L. Hoffman; Gregory S. Chirikjian; Russell H. Taylor (IEEE Trans Autom. Sci. Eng., 2021)

Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching. - Mariah L. Schrum; Erin Hedlund-Botti; Matthew C. Gombolay (CoRL, 2022)

Personalized Meta-Learning for Domain Agnostic Learning from Demonstration. - Mariah L. Schrum; Erin Hedlund-Botti; Matthew C. Gombolay (HRI, 2022)

MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning. - Mariah L. Schrum; Erin Hedlund-Botti; Nina Moorman; Matthew C. Gombolay (HRI, 2022)

Meta-Active Learning in Probabilistically Safe Optimization. - Mariah Schrum; Mark J. Connolly; Eric R. Cole; Mihir Ghetiya; Robert E. Gross; Matthew C. Gombolay (IEEE Robotics Autom. Lett., 2022)

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. - Kin Man Lee; Arjun Krishna; Zulfiqar Zaidi; Rohan R. Paleja; Letian Chen; Erin Hedlund-Botti; Mariah Schrum; Matthew C. Gombolay (HRI, 2023)

Impacts of Robot Learning on User Attitude and Behavior. - Nina Moorman; Erin Hedlund-Botti; Mariah Schrum; Manisha Natarajan; Matthew C. Gombolay (HRI, 2023)

Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams. - Esmaeil Seraj; Jerry Xiong; Mariah Schrum; Matthew C. Gombolay (NeurIPS, 2023)

Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction. - Nina M. Moorman; Nakul Gopalan; Aman Singh; Erin Botti; Mariah Schrum; Chuxuan Yang; Lakshmi Seelam; Matthew C. Gombolay (Robotics: Science and Systems, 2023)

Concerning Trends in Likert Scale Usage in Human-robot Interaction: Towards Improving Best Practices. - Mariah Schrum; Muyleng Ghuy; Erin Hedlund-Botti; Manisha Natarajan; Michael Johnson; Matthew C. Gombolay (ACM Trans. Hum. Robot Interact., 2023)

Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. - Andrew Silva; Mariah Schrum; Erin Hedlund-Botti; Nakul Gopalan; Matthew C. Gombolay (Int. J. Hum. Comput. Interact., 2023)

Towards Balancing Preference and Performance through Adaptive Personalized Explainability. - Andrew Silva; Pradyumna Tambwekar; Mariah Schrum; Matthew C. Gombolay (HRI, 2024)

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. - Michelle Pan; Mariah L. Schrum; Vivek Myers; Erdem Biyik; Anca D. Dragan (ICML, 2024)

CoS: Enhancing Personalization and Mitigating Bias with Context Steering. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (CoRR, 2024)

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. - Mariah L. Schrum; Emily Sumner; Matthew C. Gombolay; Andrew Best (IEEE Trans. Robotics, 2024)

Data-driven personalization techniques to account for heterogeneity in human-machine interaction. - Mariah L. Schrum (2024)

Context Steering: Controllable Personalization at Inference Time. - Jerry Zhi-Yang He; Sashrika Pandey; Mariah L. Schrum; Anca D. Dragan (ICLR, 2025)