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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...
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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...
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Generative grasp synthesis from demonstration using parametric mixtures
We present a parametric formulation for learning generative models for g...
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Feature-Based Transfer Learning for Robotic Push Manipulation
This paper presents a data-efficient approach to learning transferable f...
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Hypothesis-based Belief Planning for Dexterous Grasping
Belief space planning is a viable alternative to formalise partially obs...
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Uncertainty Averse Pushing with Model Predictive Path Integral Control
Planning robust robot manipulation requires good forward models that ena...
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Marek Kopicki
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