Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Giovanni Saponaro"'
A growing field in robotics and Artificial Intelligence (AI) research is human-robot collaboration, whose target is to enable effective teamwork between humans and robots. However, in many situations human teams are still superior to human-robot team
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0d3e476b8f489f3fd839fbca1efb15a
http://arxiv.org/abs/1711.09055
http://arxiv.org/abs/1711.09055
Autor:
Atabak Dehban, Lorenzo Jamone, José Santos-Victor, Giovanni Saponaro, Alexandre Bernardino, Pedro Vicente
Publikováno v:
ICDL-EPIROB
One of the open challenges in designing robots that operate successfully in the unpredictable human environment is how to make them able to predict what actions they can perform on objects, and what their effects will be, i.e., the ability to perceiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8b3dee90f38b125a25dce8ea24defe
https://doi.org/10.1109/devlrn.2017.8329826
https://doi.org/10.1109/devlrn.2017.8329826
Autor:
Giovanni Saponaro, José Santos-Victor, Anthony F. Morse, Lorenzo Jamone, Alexandre Antunes, Angelo Cangelosi
Publikováno v:
2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
ICDL-EPIROB
ICDL-EPIROB
This paper presents a robot architecture heavily inspired by neuropsychology, developmental psychology and research into "executive functions" (EF) which are responsible for the planning capabilities in humans. This architecture is presented in light
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::601dfd161682eac02330b950932eeaa4
Publikováno v:
ICRA
This paper addresses the problem of having a robot executing motor tasks requested by a human through spoken language. Verbal instructions do not typically have a one-to-one mapping to robot actions, due to various reasons: economy of spoken language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f5c88e32edea337db78179ccf8640fa
https://doi.org/10.1109/icra.2016.7487757
https://doi.org/10.1109/icra.2016.7487757
Publikováno v:
ICDL-EPIROB
{agoncalves, jabrantes, gsaponaro, ljamone, alex}@isr.ist.utl.ptAbstract Inspired by the extraordinary ability of younginfants to learn how to grasp and manipulate objects, manyworks in robotics have proposed developmental approaches toallow robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c45d998adcd71ec6ae93009697610bfa
https://doi.org/10.1109/devlrn.2014.6983027
https://doi.org/10.1109/devlrn.2014.6983027
Publikováno v:
ICARSC
Endowing artificial agents with the ability of predicting the consequences of their own actions and effi- ciently planning their behaviors based on such predictions is a fundamental challenge both in artificial intelligence and robotics. A computatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e67f779d06682d69f4f47a06c4def221
https://doi.org/10.1109/icarsc.2014.6849774
https://doi.org/10.1109/icarsc.2014.6849774
Publikováno v:
CTS
In this paper, we propose a method to recognize human body movements and we combine it with the contextual knowledge of human-robot collaboration scenarios provided by an object affordances framework that associates actions with its effects and the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e278535b1808fbced84ad94179c680
https://doi.org/10.1109/cts.2013.6567232
https://doi.org/10.1109/cts.2013.6567232
Publikováno v:
HRI
We propose a mechanism to communicate emotions to humans by using head, torso and arm movements of a humanoid robot, without exploiting its facial features. To this end, we build a library of pre-programmed robot movements and we ask people to attrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdf235c965b897ff1608ce9ffd5c0fcb
https://doi.org/10.1145/1957656.1957752
https://doi.org/10.1145/1957656.1957752
Publikováno v:
Advances in Mobile Robotics.
This paper describes an approach for real-time preparation of grasping tasks, based on the low-order moments of the target’s shape on a stereo pair of images acquired by an active vision head. The objective is to estimate the 3D position and orient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b0fda0ab3c55091e36416a7ef5da5d
https://doi.org/10.1142/9789812835772_0153
https://doi.org/10.1142/9789812835772_0153
Autor:
Antunes, Alexandre, Jamone, Lorenzo, Saponaro, Giovanni, Bernardino, Alexandre, Ventura, Rodrigo
Publikováno v:
2016 IEEE International Conference on Robotics & Automation (ICRA); 2016, p5449-5454, 6p