State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction. - Rico Jonschkowski; Oliver Brock (Robotics: Science and Systems, 2014)

Learning state representations with robotic priors. - Rico Jonschkowski; Oliver Brock (Auton. Robots, 2015)

Contextual Learning. - Rico Jonschkowski; Sebastian Höfer; Oliver Brock (CoRR, 2015)

Probabilistic multi-class segmentation for the Amazon Picking Challenge. - Rico Jonschkowski; Clemens Eppner; Sebastian Höfer; Roberto Martin Martin; Oliver Brock (IROS, 2016)

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 (IJCAI, 2017)

PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. - Rico Jonschkowski; Roland Hafner; Jonathan Scholz; Martin A. Riedmiller (CoRR, 2017)

Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. - Rico Jonschkowski; Divyam Rastogi; Oliver Brock (Robotics: Science and Systems, 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)

Learning robotic perception through prior knowledge. - Rico Jonschkowski (2018)

Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. - Ariel Gordon; Hanhan Li; Rico Jonschkowski; Anelia Angelova (ICCV, 2019)

State Representation Learning with Robotic Priors for Partially Observable Environments. - Marco Morik; Divyam Rastogi; Rico Jonschkowski; Oliver Brock (IROS, 2019)

Towards Object Detection from Motion. - Rico Jonschkowski; Austin Stone (CoRR, 2019)

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. - Xingyu Liu 001; Rico Jonschkowski; Anelia Angelova; Kurt Konolige (CVPR, 2020)

What Matters in Unsupervised Optical Flow. - Rico Jonschkowski; Austin Stone; Jonathan T. Barron; Ariel Gordon; Kurt Konolige; Anelia Angelova (ECCV (2), 2020)

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. - Péter Karkus; Anelia Angelova; Vincent Vanhoucke; Rico Jonschkowski (ICRA, 2020)

Towards Differentiable Resampling. - Michael Zhu; Kevin Murphy; Rico Jonschkowski (CoRR, 2020)

A Geometric Perspective on Self-Supervised Policy Adaptation. - Cristian Bodnar; Karol Hausman; Gabriel Dulac-Arnold; Rico Jonschkowski (CoRR, 2020)

Learning Object-Centric Video Models by Contrasting Sets. - Sindy Löwe; Klaus Greff; Rico Jonschkowski; Alexey Dosovitskiy; Thomas Kipf (CoRR, 2020)

Scaling Up Multi-Task Robotic Reinforcement Learning. - Dmitry Kalashnikov; Jake Varley; Yevgen Chebotar; Benjamin Swanson; Rico Jonschkowski; Chelsea Finn; Sergey Levine; Karol Hausman (CoRL, 2021)

Adaptive Intermediate Representations for Video Understanding. - Juhana Kangaspunta; A. J. Piergiovanni; Rico Jonschkowski; Michael S. Ryoo; Anelia Angelova (CVPR Workshops, 2021)

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. - Austin Stone; Daniel Maurer 003; Alper Ayvaci; Anelia Angelova; Rico Jonschkowski (CVPR, 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)

The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels. - Austin Stone; Oscar Ramirez; Kurt Konolige; Rico Jonschkowski (CoRR, 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)

A Metric Space Perspective on Self-Supervised Policy Adaptation. - Cristian Bodnar; Karol Hausman; Gabriel Dulac-Arnold; Rico Jonschkowski (IEEE Robotics Autom. Lett., 2021)

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 (ICLR, 2022)