45 citations · 112 across the 14 of their papers we have counts for
17 papers
Interface-Aware Trajectory Reconstruction of Limited Demonstrations for Robot Learning
Demiana R. Barsoum, Mahdieh Nejati Javaremi, Larisa Y. C. Loke +1
Assistive robots offer agency to humans with severe motor impairments. Often, these users control high-DoF robots through low-dimensional interfaces, such as using a 1-D sip-and-pu…
Control Interface Remapping for Bias-Aware Assistive Teleoperation
Andrew Thompson, Larisa Y. C. Loke, Brenna Argall
Users of assistive devices vary in their extent of motor impairment, and hence their physical interaction with control interfaces can differ. There is the potential for improved ut…
The Interface Usage Skills Test: An Open Source Tool for Quantitative Evaluation in Real Time for Clinicians and Researchers
Mahdieh Nejati Javaremi, Sisilia Sinaga, Yuming Jin +2
Assistive machines endow people with limited mobility the opportunity to live more independently. However, operating these machines poses risks to the safety of the human operator…
MAAD: A Model and Dataset for "Attended Awareness" in Driving
Deepak Gopinath, Guy Rosman, Simon Stent +4
We propose a computational model to estimate a person's attended awareness of their environment. We define attended awareness to be those parts of a potentially dynamic scene which…
Learning to Control Complex Robots Using High-Dimensional Interfaces: Preliminary Insights
Jongmin M. Lee, Temesgen Gebrekristos, Dalia De Santis +5
Human body motions can be captured as a high-dimensional continuous signal using motion sensor technologies. The resulting data can be surprisingly rich in information, even when c…
An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation
Christopher X. Miller, Temesgen Gebrekristos, Michael Young +2
A dynamic autonomy allocation framework automatically shifts how much control lies with the human versus the robotics autonomy, for example based on factors such as environmental s…