45 citations · 168 across the 20 of their papers we have counts for
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cs.RO2021★ 4 cited
Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco +1
With the recent advances in machine learning, problems that traditionally would require accurate modeling to be solved analytically can now be successfully approached with data-dri…
cs.RO2015★ 9 cited
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
Giulia Pasquale, Carlo Ciliberto, Francesca Odone +2
The ability to visually recognize objects is a fundamental skill for robotics systems. Indeed, a large variety of tasks involving manipulation, navigation or interaction with other…