Horizon 2020 (2014 - 2020)

Advancing Anticipatory Behaviors in Dyadic Human-Robot Collaboration: An.Dy

Last update: Mar 12, 2021 Last update: Mar 12, 2021

Details

Locations:Denmark, France, Germany, Italy, Netherlands, Slovenia
Start Date:Jan 1, 2017
End Date:Dec 31, 2020
Contract value: EUR 3,950,025
Sectors:Mechanical Engineering, Science & Innovation
Mechanical Engineering, Science & Innovation
Categories:Grants
Date posted:Mar 12, 2021

Associated funding

Associated experts

Description

Programme(s): H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
Topic(s): ICT-25-2016-2017 - Advanced robot capabilities research and take-up
Call for proposal: H2020-ICT-2016-1
Funding Scheme: RIA - Research and Innovation action
Grant agreement ID: 731540

Objective
Recent technological progress in robot physical interaction permitted robots to actively and safely share with human a common workspace. Thanks to these technologies, Europe nowadays leads the robotic market in the niche of safety certified robots by endowing them with the ability to react to unintentional contacts. ANDY leverages these technologies and strengthen the European leadership by endowing robots with the ability to control physical collaboration through intentional interaction. These advances necessitate progresses along three main directions: measuring, modeling and helping humans engaged in intentional collaborative physical tasks. First, ANDY will innovate the way of measuring human whole-body motions developing the ANDYSUIT, a wearable force and motion tracking technology. Second, ANDY will develop the ANDYMODEL, a technology to learn cognitive models of human behavior in collaborative tasks. Third, ANDY will propose the ANDYCONTROL, an innovative technology for helping humans through predictive physical collaboration.
ANDY will accelerate take-up and deployment by validating its progresses in realistic scenarios. In the first validation scenario the robot is identified with an industrial collaborative robot (i.e. robot=cobot) which adapts its ergonomy to individual workers. In the second validation scenario the robot is identified with an assistive exoskeleton (i.e. robot=exoskeleton) optimizing human comfort and reducing physical stress. In the third validation scenario the robot is identified with a humanoid (i.e. robot=humanoid) offering assistance to a human while maintaining the balance of both.

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