Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet
we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 …

Despite the recent success of state-of-the-art deep learning algorithms in object recognition,
when these are deployed as-is on a mobile service robot, we observed that they failed to …

The design and evaluation of accessibility technology is a core component of the computer
science landscape, aiming to ensure that digital innovations are accessible to all. One of the …

Assistive mobile robots that autonomously manipulate objects within everyday settings have
the potential to improve the lives of the elderly, injured, and disabled. Within this paper, we …

We propose a system for improving gras** using fingertip optical proximity sensors that
allows us to perform online grasp adjustments to an initial grasp point without requiring …

Humans are an essential part of human-robot interaction (HRI), but what roles do they play
in HRI research? Analysis of the role of human subjects in research can serve as an …

Robots are increasingly being applied to home and healthcare settings, designed to serve
as personal systems. The concept of personal use implies that a robot may interact socially …

We consider the task of gras** novel objects and cleaning fairly cluttered tables with many
novel objects. Recent successful approaches employ machine learning algorithms to …

Mutation testing has been used to assess and improve the quality of test inputs. Generating
test inputs to achieve high mutant-killing ratios is important in mutation testing. However …

We consider the problem of enabling a robot to autonomously open doors, including novel
ones that the robot has not previously seen. Given the large variation in the appearances …