Deliverable 3.4 Final evaluation of ACCOMPANY computational memory architecture

This document describes the final evaluation of the Accompany computational memory architecture described in deliverables D3.2 and D3.3 and implemented on the Care-O-Bot3®, the companion robot in the ACCOMPANY project. We report on two areas of formative evaluation of the architecture relevant to the aims of Accompany. The first is the evaluation of the robot teaching and learning components and the second is the evaluation of the visual episodic memory component.

Deliverable 2.3 Conceptual framework for social and emphatic behaviour for robot companion

This document describes the work carried out in WP2, Task 2.3: ‚Empathic behaviour and robot expressiveness‛, providing a conceptual framework for social and empathic behaviour for robot companion. The framework is articulated as a theoretical and design exploration through the development of prototype behaviour that have been implemented in the Care-O-bot platform. The design process was incremental and evolved

Deliverable 1.5 Final report on scenarios and system functionality of the ACCOMPANY system

The first work package (WP1) in the Accompany project deals with the need of users and their preferences regarding the functionality of the robot. The work conducted in WP1 focussed on detailing all aspects of the scenario in order for the development of the system to stay on target. Therefore, different user groups and experts were consulted. The user groups included elderly who are challenged in their independence and the care providers who are currently coping with these challenges and have expertise in solving the occurring problems on a day to day basis.

ACCOMPANY video-Integrated robot technologies for supporting elderly people in their homes

Our latest ACCOMPANY project video is now available on Youtube (link below)
Robot companions integrated with intelligent environments can facilitate independent living of the elderly at home. Using the robotic home assistant Care-O-bot 3, the ACCOMPANY project develops new solutions for providing services in a motivating and socially acceptable manner.

http://bit.ly/1sHfPGB

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A User Friendly Robot Architecture for Re-ablement and Co-learning in A Sensorised Home

Main author: Joe Saunders
Assistive Technology Research Series,Volume 33: Assistive Technology: From Research to Practice ,AAATE 2013 (Assoc. Advancement Assisted Tech. Europe)
DOI:10.3233/978-1-61499-304-9-49

Robots and the Division of Healthcare Responsibilities in the Homes of Older People

Authors: Jenkins, S., Draper H
Conference: International Conference on Social Robotics 27th - 29th October 2014, Sydney, Au.
In: Beetz, M., Johnston, B., Williams, M.-A. (eds.) ICSR. LNCS (LNAI), vol. 8755, pp. 177–186. Springer, Heidelberg (2014)

Using Robots to Modify Demanding or Impolite Behavior of Older People

Authors: Draper, H., Sorell T
Conference: International Conference on Social Robotics 27th - 29th October 2014, Sydney, Au.
In: Beetz, M., Johnston, B., Williams, M.-A. (eds.) ICSR. LNCS (LNAI), vol. 8755, pp. 126–135. Springer, Heidelberg (2014)

Ethical Dimensions of Human-Robot Interactions in the Care of Older People: Insights from 21 Focus Groups Convened in the UK, France and the Netherlands

Authors:Heather Draper1, Tom Sorell2, Sandra Bedaf3, Dag Sverre Syrdal4, Carolina Gutierrez-Ruiz5, Alexandre Duclos5 and Farshid Amirabdollahian4
Conference: International Conference on Social Robotics 27th - 29th October 2014, Sydney, Au.

ACCOMPANY in the news

Check out recent news articles on NBC and CNN "Meet Mr. Robin, grandma's robot buddy" (links below) covering developments in ACCOMPANY, as well as other EU research projects.

http://www.nbc33tv.com/news/meet-mr-robin-grandmas-ro

http://edition.cnn.com/2014/05/16/tech/innovation/meet-mr-robin-grandmas...

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Learning to Recognize Human Activities from Soft Labeled Data

Authors: Ninghang Hu, Gwenn Englebienne, Zhongyu Lou, and Ben Kröse
Conference: Robotics: Science and Systems (RSS), July 12-16th 2014,UC Berkeley, in Berkeley, California, USA
Source Code: http://ninghanghu.eu/activity_recognition.html

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