17 citations · 34 across the 5 of their papers we have counts for
8 papers
Towards Balancing Preference and Performance through Adaptive Personalized Explainability
Andrew Silva, Pradyumna Tambwekar, Mariah Schrum +1
As robots and digital assistants are deployed in the real world, these agents must be able to communicate their decision-making criteria to build trust, improve human-robot teaming…
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration
Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi +5
As high-speed, agile robots become more commonplace, these robots will have the potential to better aid and collaborate with humans. However, due to the increased agility and funct…
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay +1
Personalization of autonomous vehicles (AV) may significantly increase trust, use, and acceptance. In particular, we hypothesize that the similarity of an AV's driving style compar…
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings
Mariah L. Schrum, Erin Hedlund, Matthew C. Gombolay
Learning from demonstration (LfD) techniques seek to enable novice users to teach robots novel tasks in the real world. However, prior work has shown that robot-centric LfD approac…
Meta-active Learning in Probabilistically-Safe Optimization
Mariah L. Schrum, Mark Connolly, Eric Cole +3
Learning to control a safety-critical system with latent dynamics (e.g. for deep brain stimulation) requires taking calculated risks to gain information as efficiently as possible.…
A Mosquito Pick-and-Place System for PfSPZ-based Malaria Vaccine Production
Henry Phalen, Prasad Vagdargi, Mariah L. Schrum +8
The treatment of malaria is a global health challenge that stands to benefit from the widespread introduction of a vaccine for the disease. A method has been developed to create a…
Four Years in Review: Statistical Practices of Likert Scales in Human-Robot Interaction Studies
Mariah L. Schrum, Michael Johnson, Muyleng Ghuy +1
As robots become more prevalent, the importance of the field of human-robot interaction (HRI) grows accordingly. As such, we should endeavor to employ the best statistical practice…
When Your Robot Breaks: Active Learning During Plant Failure
Mariah Schrum, Matthew Gombolay
Detecting and adapting to catastrophic failures in robotic systems requires a robot to learn its new dynamics quickly and safely to best accomplish its goals. To address this chall…