Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams

WALK

• Title: Artificial Walking

• Inria principal investigator: Philippe Fraisse

• International Partner (Institution - Laboratory - Researcher):

  • Stanford University (United States) - Artifical Intelligence Lab

• Duration: 2010 - 2012

• See also: http://www.lirmm.fr/~fraisse/@WALK/

• The motivation approach is the complementary research works of these teams. Indeed, a collaborative project should give an additional value to their research results. On one hand, the DEMAR Project Team has experience in Functional Electrical Stimulation to restore or modulate movements on spinal cord injured patients and post stroke patients. In both pathologies researches on assisted gait using FES (for paraplegics with a walker and hemiplegics) are carried out in the team. On the other hand, the Robotics research group (Stanford) carries out manipulation tasks with a humanoid robot under equilibrium constraints. Within the framework of the previous collaboration, the crossed visits and seminars last year led us to work on two different directions: - FES muscle modeling in Opensim framework - Control mechanisms underlying age-related changes in motor control strategies during Sit-To-Stand.

Inria International Partners

• Collaborative Research agreement on Academic Co-operation (contrat sans financement) "Neuromuscular function analysis and identification for Rehabilitation" Partner: University of Tokyo (Prof. Yoshihiko Nakamura) Duration: 2011 - 2014

Participation In International Programs

STIC AmSud

• Title: CARAT (Computer Aided Rehabilitation Algorithms and Tools)

• Inria principal investigator: Mitsuhiro Hayashibe

• International Partner (Institution - Researcher):

  • Universidade de Brasília (UnB,Brazil) - Antônio P.L. Bó, Geovany Borges

  • Pontificia Universidad Católica del Perú (PUCP,Brazil) - Dante Elias

• Duration: 2012 - 2013

• Throughout the world there is an increasing need for better technologies for rehabilitation and assistance. These new solutions must present improved performance in terms of therapy effectiveness, while at the same time minimizing the corresponding costs. In this scenario, computer-aided methods represent a promising alternative for the challenges currently faced by the rehabilitation domain. Within this collaborative research project, we focus on the following research topics: - Algorithms for human motion analysis for both clinical and residential settings based on portable and external sensing technologies - Sensory feedback devices to improve effectiveness on rehabilitation procedures - Robotic platforms for rehabilitation - Software development for telerehabilitation