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Robert Paolini

4 accepted papers

2017

A Probabilistic Planning Framework for Planar Grasping Under Uncertainty

RA-L 2017

How can a robot design a sequence of grasping actions that will succeed despite the presence of bounded state uncertainty and an inherently stochastic system? In this letter, we propose a probabilistic algorithm that generates sequential actions to iteratively reduce uncertainty until object pose is

Cited by 39SourceScholar
2016

A convex polynomial force-motion model for planar sliding: Identification and application

ICRA 2016poster

We propose a polynomial force-motion model for planar sliding. The set of generalized friction loads is the 1-sublevel set of a polynomial whose gradient directions correspond to generalized velocities. Additionally, the polynomial is confined to be convex even-degree homogeneous in order to obey th…

Cited by 112SourceScholar