Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Pattacini Ugo"'
Autor:
Chevalier Pauline, Vasco Valentina, Willemse Cesco, De Tommaso Davide, Tikhanoff Vadim, Pattacini Ugo, Wykowska Agnieszka
Publikováno v:
Paladyn, Vol 12, Iss 1, Pp 199-213 (2021)
We investigated the influence of visual sensitivity on the performance of an imitation task with the robot R1 in its virtual and physical forms. Virtual and physical embodiments offer different sensory experience to the users. As all individuals resp
Externí odkaz:
https://doaj.org/article/f23cbfce46694aa790ee138cbda3d61d
For safe and effective operation of humanoid robots in human-populated environments, the problem of commanding a large number of Degrees of Freedom (DoF) while simultaneously considering dynamic obstacles and human proximity has still not been solved
Externí odkaz:
http://arxiv.org/abs/2312.02711
Autor:
Dafarra, Stefano, Pattacini, Ugo, Romualdi, Giulio, Rapetti, Lorenzo, Grieco, Riccardo, Darvish, Kourosh, Milani, Gianluca, Valli, Enrico, Sorrentino, Ines, Viceconte, Paolo Maria, Scalzo, Alessandro, Traversaro, Silvio, Sartore, Carlotta, Elobaid, Mohamed, Guedelha, Nuno, Herron, Connor, Leonessa, Alexander, Draicchio, Francesco, Metta, Giorgio, Maggiali, Marco, Pucci, Daniele
Publikováno v:
Science Robotics, 24th January 2024
We present an avatar system designed to facilitate the embodiment of humanoid robots by human operators, validated through iCub3, a humanoid developed at the Istituto Italiano di Tecnologia (IIT). More precisely, the contribution of the paper is twof
Externí odkaz:
http://arxiv.org/abs/2203.06972
Publikováno v:
IEEE Robotics and Automation Letters Volume 7, Issue 1, Jan. 2022, pp 159-166
6D object pose tracking has been extensively studied in the robotics and computer vision communities. The most promising solutions, leveraging on deep neural networks and/or filtering and optimization, exhibit notable performance on standard benchmar
Externí odkaz:
http://arxiv.org/abs/2111.03821
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 836-843, April 2020
The use of benchmarks is a widespread and scientifically meaningful practice to validate performance of different approaches to the same task. In the context of robot grasping the use of common object sets has emerged in recent years, however no domi
Externí odkaz:
http://arxiv.org/abs/2002.05017
Autor:
Gago, Jennifer J., Vasco, Valentina, Łukawski, Bartek, Pattacini, Ugo, Tikhanoff, Vadim, Victores, Juan G., Balaguer, Carlos
This paper presents a study on natural language to sign language translation with human-robot interaction application purposes. By means of the presented methodology, the humanoid robot TEO is expected to represent Spanish sign language automatically
Externí odkaz:
http://arxiv.org/abs/1907.04198
Autor:
Nguyen, Dong Hai Phuong, Hoffmann, Matej, Roncone, Alessandro, Pattacini, Ugo, Metta, Giorgio
Publikováno v:
HRI '18: 2018 ACM/IEEE International Conference on Human-Robot Interaction, March 5--8, 2018, Chicago, IL, USA
With robots leaving factories and entering less controlled domains, possibly sharing the space with humans, safety is paramount and multimodal awareness of the body surface and the surrounding environment is fundamental. Taking inspiration from perip
Externí odkaz:
http://arxiv.org/abs/1801.05671
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA), 2018
To precisely reach for an object with a humanoid robot, it is of central importance to have good knowledge of both end-effector, object pose and shape. In this work we propose a framework for markerless visual servoing on unknown objects, which is di
Externí odkaz:
http://arxiv.org/abs/1710.04465
Autor:
Moulin-Frier, Clément, Fischer, Tobias, Petit, Maxime, Pointeau, Grégoire, Puigbo, Jordi-Ysard, Pattacini, Ugo, Low, Sock Ching, Camilleri, Daniel, Nguyen, Phuong, Hoffmann, Matej, Chang, Hyung Jin, Zambelli, Martina, Mealier, Anne-Laure, Damianou, Andreas, Metta, Giorgio, Prescott, Tony J., Demiris, Yiannis, Dominey, Peter Ford, Verschure, Paul F. M. J.
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1005-1022, 2018
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot. The framework, based
Externí odkaz:
http://arxiv.org/abs/1706.03661
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
This paper addresses recursive markerless estimation of a robot's end-effector using visual observations from its cameras. The problem is formulated into the Bayesian framework and addressed using Sequential Monte Carlo (SMC) filtering. We use a 3D r
Externí odkaz:
http://arxiv.org/abs/1703.04771