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Rok Pahič

2 accepted papers

2019

Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks

ICRA 2019poster

Learning to recognize and reproduce handwritten characters is already a challenging task both for humans and robots alike, but learning to do the same thing for characters that can be transformed arbitrarily in space, as humans do when writing on a blackboard for instance, significantly ups the ante…

Cited by 6SourceScholar
2018

Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives

ICRA 2018poster

In this paper we propose a new approach for learning perception-action couplings. We show that by collecting a suitable set of raw images and the associated movement trajectories, a deep encoder-decoder network can be trained that takes raw images as input and outputs the corresponding dynamic movem…

Cited by 47SourceScholar