Action understanding in human and robot dyadic interaction

Información del proyecto

ACTICIPATE

Identificador del acuerdo de subvención: 752611

DOI

10.3030/752611

Proyecto cerrado

Fecha de la firma de la CE 21 Marzo 2017

Fecha de inicio 1 Junio 2017

Fecha de finalización 31 Agosto 2018

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 100 397,25

Aportación de la UE

€ 100 397,25

Coordinado por

INSTITUTO SUPERIOR TECNICO
Portugal

Objetivo

Humans have fascinating skills for grasping and manipulation of objects, even in complex, dynamic environments, and execute coordinated movements of the head, eyes, arms, and hands, in order to accomplish everyday tasks. When working on a shared space, during dyadic interaction tasks, humans engage in non-verbal communication, by understanding and anticipating the actions of working partners, and coupling their actions in a meaningful way.
The key to this mind-boggling performance is two-fold: (i) a capacity to adapt and plan the motion according to unexpected events in the environment, (ii) and the use of a common motor repertoire and action model, to understand and anticipate the actions and intentions of others as if they were our own. Despite decades of progress, robots are still far from the level of performance that would enable them to work with humans in routine activities.
ACTICIPATE addresses the challenge of designing robots that can share workspaces and co-work with humans. We rely on human experiments to learn a model/controller that allows a humanoid to generate and adapt its upper body motion, in dynamic environments, during reaching and manipulation tasks, and to understand, predict and anticipate the actions of a human co-worker, as needed in manufacturing, assistive and service robotics, and domestic applications.
These application scenarios call for three main capabilities that will be tackled in ACTICIPATE: a motion generation mechanism (primitives), with a built-in capacity for instant reaction to changes in dynamic environments; a framework to combine primitives and execute coordinated movements of head, eyes, arm and hand, in a way similar (thus predictable) to human movements, and model the action/movement coupling between co-workers in dyadic interaction tasks; and the ability to understand and anticipate human actions, based on a common motor system/model that is also used to synthesize the robot’s goal-directed actions in a natural way.

Ámbito científico (EuroSciVoc)

• ingeniería y tecnología › ingeniería eléctrica, ingeniería electrónica, ingeniería de la información › ingeniería electrónica › robótica › robots cognitivos
• ingeniería y tecnología › ingeniería eléctrica, ingeniería electrónica, ingeniería de la información › ingeniería electrónica › robótica › robots autónomos
• ciencias naturales › informática y ciencias de la información › software › software de aplicación › software de simulación

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2016 - Individual Fellowships
  

Régimen de financiación

MSCA-IF-EF-ST - Standard EF

Convocatoria de propuestas

H2020-MSCA-IF-2016

Coordinador

INSTITUTO SUPERIOR TECNICO

• Aportación neta de la UEn: € 100 397,25
• Dirección: AVENIDA ROVISCO PAIS 1 ; 1049 001 Lisboa ; Portugal
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 100 397,25