ICRA2017 Full-Day Workshop
Date and Time
29 May 2017
08.30 hrs – 17.00 hrs
Advances and challenges on the development, testing and assessment of assistive and rehabilitation robots: Experiences from engineering and human science research
Assistive robots for health and welfare applications are required to display perceptual, cognitive and bodily-kinaesthetic capabilities that are natural and intuitive for older people and persons with disabilities to interact with, communicate with, work with as partners, and learn to adapt to their needs. However, the embodiment of such capabilities has been scarcely studied, so it is still required that the health and social care staff and the user groups could explore and learn how to exploit the capabilities of the assistive robots. Therefore, a multidisciplinary approach to promote the study from the engineering and human science to introduce the next generation of assistive robots is desired. The goal of this workshop is to provide a forum for sharing the experiences from the engineering and human science research on the development, testing and assessment of assistive robots and present the most recent advances and challenges in order to foreseen novel designing approaches and user based studies addressing healthcare and social welfare applications in the ambient assisted living from a world-wide perspective with point of departure in interdisciplinary research collaboration.
The objective of the proposed workshop is to discuss from an multidisciplinary approach in such detail that the research results from the engineering (mechanical, control and rehabilitation) and human science (sociology and health care) research fields can be discussed to better understand how to improve the design, testing and asses of assistive robots for health care and welfare applications. For this purpose, the tentative program is described below.
This proposed workshop is supported by the IEEE RAS Technical Committees on:
1) Rehabilitation and Assistive Robotics [ Machiel Van Der Loos, Yasuhisa Hirata, Stefano Mazzoleni],
2) Wearable Robotics [Samer Mohammed, Juan C. Moreno, Thomas Sugar, Yasuhisa Hasegawa].