Rico Jonschkowski

According to our database, Rico Jonschkowski authored at least 26 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Conditional Object-Centric Learning from Video.

Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Metric Space Perspective on Self-Supervised Policy Adaptation.

Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski

IEEE Robotics Autom. Lett., 2021

MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.

Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman

CoRR, 2021

The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels.

Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski

CoRR, 2021

Correction to: Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015.

Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock

Auton. Robots, 2021

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping.

Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adaptive Intermediate Representations for Video Understanding.

Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Scaling Up Multi-Task Robotic Reinforcement Learning.

Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning Object-Centric Video Models by Contrasting Sets.

Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf

CoRR, 2020

A Geometric Perspective on Self-Supervised Policy Adaptation.

Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski

CoRR, 2020

Towards Differentiable Resampling.

Michael Zhu, Kevin Murphy, Rico Jonschkowski

CoRR, 2020

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization.

Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

What Matters in Unsupervised Optical Flow.

Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

Proceedings of the Computer Vision - ECCV 2020, 2020

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects.

Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Towards Object Detection from Motion.

Rico Jonschkowski, Austin Stone

CoRR, 2019

State Representation Learning with Robotic Priors for Partially Observable Environments.

Marco Morik, Divyam Rastogi, Rico Jonschkowski, Oliver Brock

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras.

Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning robotic perception through prior knowledge.

Rico Jonschkowski

PhD thesis, 2018

Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015.

Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock

Auton. Robots, 2018

Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors.

Rico Jonschkowski, Divyam Rastogi, Oliver Brock

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations.

Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin A. Riedmiller

CoRR, 2017

Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems.

Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Probabilistic multi-class segmentation for the Amazon Picking Challenge.

Rico Jonschkowski, Clemens Eppner, Sebastian Höfer, Roberto Martin Martin, Oliver Brock

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Contextual Learning.

Rico Jonschkowski, Sebastian Höfer, Oliver Brock

CoRR, 2015

Learning state representations with robotic priors.

Rico Jonschkowski, Oliver Brock

Auton. Robots, 2015

2014

State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction.

Rico Jonschkowski, Oliver Brock

Proceedings of the Robotics: Science and Systems X, 2014