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Deep Dexterous Grasping of Novel Objects from a Single View
Dexterous grasping of a novel object given a single view is an open prob...
08/10/2019 ∙ by Umit Rusen Aktas, et al. ∙
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Learning better generative models for dexterous, single-view grasping of novel objects
This paper concerns the problem of how to learn to grasp dexterously, so...
07/13/2019 ∙ by Marek Kopicki, et al. ∙
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Generative grasp synthesis from demonstration using parametric mixtures
We present a parametric formulation for learning generative models for g...
06/27/2019 ∙ by Ermano Arruda, et al. ∙
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Feature-Based Transfer Learning for Robotic Push Manipulation
This paper presents a data-efficient approach to learning transferable f...
05/09/2019 ∙ by Jochen Stüber, et al. ∙
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Hypothesis-based Belief Planning for Dexterous Grasping
Belief space planning is a viable alternative to formalise partially obs...
03/13/2019 ∙ by Claudio Zito, et al. ∙
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Uncertainty Averse Pushing with Model Predictive Path Integral Control
Planning robust robot manipulation requires good forward models that ena...
10/11/2017 ∙ by Ermano Arruda, et al. ∙
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