A
Alexandre Bernardino
Researcher at Instituto Superior Técnico
Publications - 291
Citations - 5792
Alexandre Bernardino is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Robot & Humanoid robot. The author has an hindex of 32, co-authored 280 publications receiving 4855 citations. Previous affiliations of Alexandre Bernardino include Sant'Anna School of Advanced Studies & University of Lisbon.
Papers
More filters
Journal ArticleDOI
The iCub humanoid robot: An open-systems platform for research in cognitive development
Giorgio Metta,Lorenzo Natale,Francesco Nori,Giulio Sandini,David Vernon,Luciano Fadiga,Claes von Hofsten,Kerstin Rosander,Manuel Lopes,José Santos-Victor,Alexandre Bernardino,Luis Montesano +11 more
TL;DR: The iCub is described, which was designed to support collaborative research in cognitive development through autonomous exploration and social interaction and which has attracted a growing community of users and developers.
Journal ArticleDOI
Learning Object Affordances: From Sensory--Motor Coordination to Imitation
TL;DR: This work presents a general model for learning object affordances using Bayesian networks integrated within a general developmental architecture for social robots and demonstrates successful learning in the real world by having an humanoid robot interacting with objects.
Proceedings ArticleDOI
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
TL;DR: A unified approach to bilinear factorization and nuclear norm regularization is proposed, that inherits the benefits of both and proposes a new optimization algorithm and a "rank continuation'' strategy that outperform state-of-the-art approaches for Robust PCA, Structure from Motion and Photometric Stereo with outliers and missing data.
Proceedings ArticleDOI
Design of the robot-cub (iCub) head
Ricardo Beira,Manuel Lopes,M. Praca,José Santos-Victor,Alexandre Bernardino,Giorgio Metta,Francesco Becchi,Roque Saltaren +7 more
TL;DR: This paper describes the design of a robot head, developed in the framework of the RobotCub project, which is the most complete humanoid robot currently being designed, in terms of kinematic complexity.
Proceedings Article
Matrix Completion for Multi-label Image Classification
TL;DR: This paper formulates image categorization as a multi-label classification problem using recent advances in matrix completion and proposes two convex algorithms for matrix completion based on a Rank Minimization criterion specifically tailored to visual data, and proves its convergence properties.