activity
20142021
most citedTrajectory Deformations from Physical Human-Robot Interaction

93 citations · 106 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections

Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley +1

When a robot performs a task next to a human, physical interaction is inevitable: the human might push, pull, twist, or guide the robot. The state-of-the-art treats these interacti…

cs.RO2019

Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot Interaction

Dylan P. Losey, Marcia K. O'Malley

During human-robot interaction (HRI), we want the robot to understand us, and we want to intuitively understand the robot. In order to communicate with and understand the robot, we…

cs.RO2018★ 13 cited

Including Uncertainty when Learning from Human Corrections

Dylan P. Losey, Marcia K. O'Malley

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 co…

cs.RO2017★ 93 cited

Trajectory Deformations from Physical Human-Robot Interaction

Dylan P. Losey, Marcia K. O'Malley

Robots are finding new applications where physical interaction with a human is necessary: manufacturing, healthcare, and social tasks. Accordingly, the field of physical human-robo…

cs.RO2014

Modeling Basic Aspects of Cyber-Physical Systems, Part II

Yingfu Zeng, Chad Rose, Paul Brauner +5

We continue to consider the question of what language features are needed to effectively model cyber-physical systems (CPS). In previous work, we proposed using a core language as…