Marcia K. O’Malley — accepted AI-conference papers

2019

On the role of wearable haptics for force feedback in teleimpedance control for dual-arm robotic teleoperation

Janelle P. Clark, Gianluca Lentini, Federica Barontini, Manuel G. Catalano, Matteo Bianchi, Marcia K. O’Malley

ICRA 2019poster

Robotic teleoperation enables humans to safely complete exploratory procedures in remote locations for applications such as deep sea exploration or building assessments following natural disasters. Successful task completion requires meaningful dual arm robotic coordination and proper understanding…

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2018

Including Uncertainty when Learning from Human Corrections

Dylan P. Losey, Marcia K. O’Malley

CoRL 2018

It is difficult for humans to efficiently teach robots how to correctly perform a task. One intuitive solution is for the robot to iteratively learn the human’s preferences from corrections, where the human improves the robot’s current behavior at each iteration. When learning from corrections, we a

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2017

Learning Robot Objectives from Physical Human Interaction

Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan

CoRL 2017

When humans and robots work in close proximity, physical interaction is inevitable. Traditionally, robots treat physical interaction as a disturbance, and resume their original behavior after the interaction ends. In contrast, we argue that physical human interaction is informative: it is useful inf

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