activity
20182022
most citedCorrective Shared Autonomy for Addressing Task Variability

39 citations · 107 across the 11 of their papers we have counts for

collaborators

16 papers

cs.LG20221 cited

Trinary Tools for Continuously Valued Binary Classifiers

Michael Gleicher, Xinyi Yu, Yuheng Chen

Classification methods for binary (yes/no) tasks often produce a continuously valued score. Machine learning practitioners must perform model selection, calibration, discretization…

cs.HC2022

Manually Acquiring Targets from Multiple Viewpoints Using Video Feedback

Bailey Ramesh, Anna Konstant, Pragathi Praveena +5

Objective: The effect of camera viewpoint was studied when performing visually obstructed psychomotor targeting tasks. Background: Previous research in laparoscopy and robotic tele…

cs.RO202125 cited

Task-Level Authoring for Remote Robot Teleoperation

Emmanuel Senft, Michael Hagenow, Kevin Welsh +4

Remote teleoperation of robots can broaden the reach of domain specialists across a wide range of industries such as home maintenance, health care, light manufacturing, and constru…

cs.RO2021

Recognizing Orientation Slip in Human Demonstrations

Michael Hagenow, Bolun Zhang, Bilge Mutlu +2

Manipulations of a constrained object often use a non-rigid grasp that allows the object to rotate relative to the end effector. This orientation slip strategy is often present in…

cs.RO202119 cited

Situated Live Programming for Human-Robot Collaboration

Emmanuel Senft, Michael Hagenow, Robert Radwin +3

We present situated live programming for human-robot collaboration, an approach that enables users with limited programming experience to program collaborative applications for hum…

cs.RO202115 cited

Informing Real-time Corrections in Corrective Shared Autonomy Through Expert Demonstrations

Michael Hagenow, Emmanuel Senft, Robert Radwin +3

Corrective Shared Autonomy is a method where human corrections are layered on top of an otherwise autonomous robot behavior. Specifically, a Corrective Shared Autonomy system lever…