Intelligent Robotics

Aalto University, Espoo, Finland

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Category: Shape-based grasping

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

08/03/2021

Preprint https://arxiv.org/pdf/2012.09696.pdf.

DDGC: Generative Deep Dexterous Grasping in Clutter

24/02/2021

Preprint.

Beyond Top-Grasps Through Scene Completion

02/03/2020

Current end-to-end grasp planning methods propose grasps in the order of seconds that attain high grasp success rates on a diverse set of objects, but often by constraining the workspace to top-grasps. In this work, we present a method that allows end-to-end top-grasp planning methods to generate full six-degree-of-freedom grasps using a single RGB-D view […]

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  • Decision-Making in Autonomous Driving with Data- and Model-Based Methods Combination Ensuring Road Safety Aspects
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