59 citations · 203 across the 18 of their papers we have counts for
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cs.RO2024★ 13 cited
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…
cs.RO2024★ 11 cited
Gaussian Mixture Models for Affordance Learning using Bayesian Networks
Pedro Osório, Alexandre Bernardino, Ruben Martinez-Cantin +1
Affordances are fundamental descriptors of relationships between actions, objects and effects. They provide the means whereby a robot can predict effects, recognize actions, select…