13 citations · 31 across the 5 of their papers we have counts for
5 papers
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty
Joao Castanheira, Pedro Vicente, Ruben Martinez-Cantin +2
Robust grasping is a major, and still unsolved, problem in robotics. Information about the 3D shape of an object can be obtained either from prior knowledge (e.g., accurate models…
Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
Alexandre Almeida, Pedro Vicente, Alexandre Bernardino
The ability to distinguish between the self and the background is of paramount importance for robotic tasks. The particular case of hands, as the end effectors of a robotic system…
Online Body Schema Adaptation through Cost-Sensitive Active Learning
Gonçalo Cunha, Pedro Vicente, Alexandre Bernardino +2
Humanoid robots have complex bodies and kinematic chains with several Degrees-of-Freedom (DoF) which are difficult to model. Learning the parameters of a kinematic model can be ach…
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
Jaeseok Kim, Nino Cauli, Pedro Vicente +4
Nowadays, autonomous service robots are becoming an important topic in robotic research. Differently from typical industrial scenarios, with highly controlled environments, service…
Learning at the Ends: From Hand to Tool Affordances in Humanoid Robots
Giovanni Saponaro, Pedro Vicente, Atabak Dehban +3
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…