Search Results for author: Anastasiia Varava

Found 8 papers, 5 papers with code

Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects

1 code implementation4 Mar 2021 Zehang Weng, Fabian Paus, Anastasiia Varava, Hang Yin, Tamim Asfour, Danica Kragic

In an ablation study, we show the benefits of the two-stage model for single time step prediction and the effectiveness of the mixed-horizon model for long-term prediction tasks.

Robotics

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.

Equivariant Representation Learning via Class-Pose Decomposition

1 code implementation7 Jul 2022 Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic

We introduce a general method for learning representations that are equivariant to symmetries of data.

Representation Learning

Sequential Topological Representations for Predictive Models of Deformable Objects

no code implementations23 Nov 2020 Rika Antonova, Anastasiia Varava, Peiyang Shi, J. Frederico Carvalho, Danica Kragic

Deformable objects present a formidable challenge for robotic manipulation due to the lack of canonical low-dimensional representations and the difficulty of capturing, predicting, and controlling such objects.

Learning Geometric Representations of Objects via Interaction

1 code implementation11 Sep 2023 Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic

We address the problem of learning representations from observations of a scene involving an agent and an external object the agent interacts with.

Object Representation Learning

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