Difference between revisions of "SIDUS-AIR"

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|ShortDescription=Action and Intention Recognition in Human Interaction with Autonomous Systems
 
|ShortDescription=Action and Intention Recognition in Human Interaction with Autonomous Systems
 
|Description=AIR is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, University of Skövde, Örebro University and RISE Viktoria (formerly Viktoria Swedish ICT), from Sweden. The focus of the proposed distributed research environment is on action and intention recognition in human interaction with autonomous systems (or AIR, for short). More specifically, the focus is on the interaction of humans and autonomous systems that move in shared physical spaces.
 
|Description=AIR is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, University of Skövde, Örebro University and RISE Viktoria (formerly Viktoria Swedish ICT), from Sweden. The focus of the proposed distributed research environment is on action and intention recognition in human interaction with autonomous systems (or AIR, for short). More specifically, the focus is on the interaction of humans and autonomous systems that move in shared physical spaces.
|LogotypeFile=Bidaf.png
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|LogotypeFile=Grid.jpg
 
|ProjectResponsible=Josef Bigun
 
|ProjectResponsible=Josef Bigun
 
|ProjectStart=2015/04/01
 
|ProjectStart=2015/04/01

Revision as of 12:29, 30 October 2017



Action and Intention Recognition in Human Interaction with Autonomous Systems

SIDUS-AIR
Project start:
1 April 2015
Project end:
31 March 2019
More info (PDF):
[[media: | pdf]]
Contact:
[[Josef Bigun]]
Application Area:
[[]]

Involved internal personnel
Involved external personnel
Involved partners

Abstract

AIR is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at Halmstad University, University of Skövde, Örebro University and RISE Viktoria (formerly Viktoria Swedish ICT), from Sweden. The focus of the proposed distributed research environment is on action and intention recognition in human interaction with autonomous systems (or AIR, for short). More specifically, the focus is on the interaction of humans and autonomous systems that move in shared physical spaces.

The mutual recognition of actions and intentions between humans and the autonomous systems they interact with is absolutely crucial to ensure safety as well public acceptance of such technologies. Therefore, the research to be performed within the proposed distributed research environment will contribute to the success of future autonomous systems in society.

The particular research scenarios that instantiate this general theme in the AIR environment address human interaction

  1. with social/assistive robots in the home
  2. with autonomous transport vehicles in industrial environments, and
  3. with autonomous vehicles in public traffic

All of these scenarios share the requirements that the autonomous systems must behave in a way that is unobtrusive and transparent to the humans interacting with them, and have cognitive abilities that allow humans to intuitively and effortlessly communicate their intentions and desired actions. Each scenario, however, considers different facets of the problem.

Addressing the challenge of mutual action and intention recognition therefore requires a well-coordinated long-term interdisciplinary research effort that integrates expertise in cognitive science, experimental psychology, human factors, human-machine interaction, robotics, computer vision, and artificial intelligence -as constituted by the AIR consortium and distributed research environment.