40 citations · 84 across the 3 of their papers we have counts for
3 papers
Generative grasp synthesis from demonstration using parametric mixtures
Ermano Arruda, Claudio Zito, Mohan Sridharan +2
We present a parametric formulation for learning generative models for grasp synthesis from a demonstration. We cast new light on this family of approaches, proposing a parametric…
Uncertainty Averse Pushing with Model Predictive Path Integral Control
Ermano Arruda, Michael J Mathew, Marek Kopicki +3
Planning robust robot manipulation requires good forward models that enable robust plans to be found. This work shows how to achieve this using a forward model learned from robot d…
Active vision for dexterous grasping of novel objects
Ermano Arruda, Jeremy Wyatt, Marek Kopicki
How should a robot direct active vision so as to ensure reliable grasping? We answer this question for the case of dexterous grasping of unfamiliar objects. By dexterous grasping w…