Rico Jonschkowski
Rico Jonschkowski
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TitleCited byYear
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ...
Proceedings of Robotics: Science and Systems, 2016
Learning State Representations with Robotic Priors
R Jonschkowski, O Brock
Autonomous Robots 39 (3), 407-428, 2015
Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge
R Jonschkowski, C Eppner, S Höfer, R Martín-Martín, O Brock
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction
R Jonschkowski, O Brock
Proceedings of Robotics: Science and Systems, 2014
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations
R Jonschkowski, R Hafner, J Scholz, M Riedmiller
New Frontiers for Deep Learning in Robotics Workshop at RSS, 2017
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
R Jonschkowski, D Rastogi, O Brock
Proceedings of Robotics: Science and Systems, 2018
Patterns for Learning with Side Information
R Jonschkowski, S Höfer, O Brock
arXiv preprint arXiv:1511.06429, 2015
End-To-End Learnable Histogram Filters
R Jonschkowski, O Brock
Workshop on Deep Learning for Action and Interaction at NIPS, 2016
Depth from videos in the wild: Unsupervised monocular depth learning from unknown cameras
A Gordon, H Li, R Jonschkowski, A Angelova
Proceedings of the IEEE International Conference on Computer Vision, 8977-8986, 2019
Learning Task-Specific State Representations by Maximizing Slowness and Predictability
R Jonschkowski, O Brock
Proceedings of the 6th International Workshop on Evolutionary and …, 2013
Unsupervised learning of state representations for multiple tasks
S Höfer, A Raffin, R Jonschkowski, O Brock, F Stulp
Deep Learning Workshop at the Conference on Neural Information Processing …, 2016
Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015
C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ...
Autonomous Robots 42 (7), 1459-1475, 2018
Found by NEMO: Unsupervised Object Detection from Negative Examples and Motion
R Jonschkowski
Learning robotic perception through prior knowledge
R Jonschkowski
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects
X Liu, R Jonschkowski, A Angelova, K Konolige
arXiv preprint arXiv:1912.02805, 2019
Towards Object Detection from Motion
R Jonschkowski, A Stone
arXiv preprint arXiv:1909.12950, 2019
New Approaches to Temporal Abstraction in Hierarchical Reinforcement Learning
R Jonschkowski
Differentiable Mapping Networks: Learning Task-Oriented Latent Maps with Spatial Structure
P Karkus, A Angelova, R Jonschkowski
State Representation Learning with Robotic Priors for Partially Observable Environments
M Morik, D Rastogi, R Jonschkowski, O Brock
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