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James S. Taylor

dblp:77/9255 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 44% Collaborative and social computing · 44% User interface design and tools · 13%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › multi-robot systems
multi-robot team control
0.112011
Team-based interactions with heterogeneous robots through a novel HRI software architecture · HRI 2011

Methods — techniques the papers use, named apart from their topics

software architecture · 0.1evaluation study · 0.1
YearPublicationVenuePosition
2011 Team-based interactions with heterogeneous robots through a novel HRI software architecture
abstract
In this paper, we describe a Human-Robot Interface (HRI) software architecture designed to enable teams of operators to share tasking for multiple unmanned vehicles and systems. Many existing robotic systems are controlled using specially-designed interfaces, which becomes problematic for operator teams controlling multiple heterogeneous systems. We propose a solution that enables teams of operators to control multiple heterogeneous vehicles and systems using a common command and control environment. This environment supports task sharing and handoff and was shown in evaluations to improve team efficiency.
Meghann Lomas, Vera Zaychik Moffitt, Patrick Craven, E. Vincent Cross II, Jerry L. Franke, James S. Taylor
HRI6