Advancing Anticipatory Behaviors in Dyadic Human-Robot Collaboration
OBJECTIVES
Obj1. ANDY will develop the ANDYSUIT, a wearable technology for monitoring humans involved in whole-body physical interaction tasks. Obj2. Based on the ANDYSUIT, ANDY will generate ANDYDATASET, a collection of motion and force captures of humans involved in and collaboration tasks. Obj3. From ANDYDATASET, ANDY will develop ANDYMODEL, a set of models to describe human and robot behaviour when engaged in collaborative tasks. Obj4. With ANDYSUIT and ANDYMODEL, ANDY will develop ANDYCONTROL, a reactive and predictive control strategy for human-robot physical collaboration.
EXPECTED IMPACT
Impact on manufacturing domain: ANDY technologies support this objective in two ways: (1) by increasing productivity through more effective production and service processes in which the strength of humans and robots are optimally combined, and (2) by maintaining workers health until the age of retirement including reduced costs for health care and compensation. Impact on healthcare: the ANDYSUIT will open a completely new field for methodological analysis with the possibility of monitoring patients also outside the clinics.
PARTNERS
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
INŠTITUT JOŽEF ŠTEFAN
DEUTSCHES ZENTRUM FÜR LUFT- UND RAUMFAHRT
XSENS TECHNOLOGIES BV
IMK AUTOMOTIVE GMBH
OTTO BOCK HEALTHCARE GMBH
ANYBODY TECHNOLOGY A/S
Coordinator: Francesco Nori
francesco.nori@iit.it
http://iron76.github.io
Instituto Italiano di Tecnologia - iCub Facility
Via Morego, 30
16163 Genova, Italy
Phone: (+39) 010 71 781 420
Fax: +39 010 71 70 817
Twitter: @AnDy_H2020
Project website: www.andy-project.eu
Co-funded by the Horizon 2020 Framework Programme of the European Union
Call: H2020-ICT-26-2016 a
Duration: 1 January 2017 – 31 December 2019
Project ID: 731593