Workshop on Longitudinal Human-Robot Teaming

Conference Paper (2018)
Author(s)

Joachim de Greeff (TU Delft - Interactive Intelligence)

Bradley Hayes (University of Colorado)

Matthew Gombolay (Georgia Institute of Technology)

Matthew Johnson (Florida Institute for Human and Machine Cognition (IHMC))

Mark A. Neerincx (TU Delft - Interactive Intelligence, TNO)

Juriaan van Diggelen (TNO)

Melissa Cefkin (Nissan)

Ivana Kruijff-Korbayova (German Research Centre for Artificial Intelligence (DFKI))

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.1145/3173386.3173559
More Info
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Publication Year
2018
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
389-390
ISBN (electronic)
978-1-4503-5615-2

Abstract

As robots that share working and living environments with humans proliferate, human-robot teamwork (HRT) is becoming more relevant every day. By necessity, these HRT dynamics develop over time, as HRT can hardly happen only in the moment. What theories, algorithms, tools, computational models and design methodologies enable effective and safe longitudinal human-robot teaming? To address this question, we propose a half-day workshop on longitudinal human-robot teaming. This workshop seeks to bring together researchers from a wide array of disciplines with the focus of enabling humans and robots to better work together in real-life settings and over long-term. Sessions will consist of a mix of plenary talks by invited speakers and contributed papers/posters, and will encourage discussion and exchange of ideas amongst participants by having breakout groups and a panel discussion.

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