Search Results for author: Michael C. Welle

Found 7 papers, 3 papers with code

EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics

no code implementations19 Sep 2022 Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, David Held, Zackory Erickson, Danica Kragic

We study the problem of learning graph dynamics of deformable objects that generalizes to unknown physical properties.

Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning

no code implementations14 Sep 2021 Constantinos Chamzas, Martina Lippi, Michael C. Welle, Anastasia Varava, Lydia E. Kavraki, Danica Kragic

Most methods learn state representations by utilizing losses based on the reconstruction of the raw observations from a lower-dimensional latent space.

Representation Learning

Batch Curation for Unsupervised Contrastive Representation Learning

no code implementations19 Aug 2021 Michael C. Welle, Petra Poklukar, Danica Kragic

The state-of-the-art unsupervised contrastive visual representation learning methods that have emerged recently (SimCLR, MoCo, SwAV) all make use of data augmentations in order to construct a pretext task of instant discrimination consisting of similar and dissimilar pairs of images.

Representation Learning

Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap

1 code implementation3 Mar 2021 Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasia Varava, Hang Yin, Alessandro Marino, Danica Kragic

We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces, focusing on manipulation of deformable objects.

Fashion Landmark Detection and Category Classification for Robotics

1 code implementation26 Mar 2020 Thomas Ziegler, Judith Butepage, Michael C. Welle, Anastasiia Varava, Tonci Novkovic, Danica Kragic

Research on automated, image based identification of clothing categories and fashion landmarks has recently gained significant interest due to its potential impact on areas such as robotic clothing manipulation, automated clothes sorting and recycling, and online shopping.

Classification Data Augmentation +1

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation

1 code implementation19 Mar 2020 Martina Lippi, Petra Poklukar, Michael C. Welle, Anastasiia Varava, Hang Yin, Alessandro Marino, Danica Kragic

We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces such as manipulation of deformable objects.

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