Johannes Andreas Stork

Johannes Andreas Stork

Associate Senior Lecturer

AASS Research Center
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T1215
Phone +46 (0)19 30 39 40
johannesandreas.stork@oru.se

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About

Johannes A. Stork is Associate Senior Lecturer and WASP Professor of machine learning at Örebro University and works at the Center for Applied Autonomous Sensor Systems (AASS). He joined the Autonomous Mobile Manipulation Lab (AMM) as a founding member. His main research interests are in machine learning and autonomous intelligent systems.

Starting spring of 2020 he is WASP Professor as part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program and major national initiative for strategic basic research, education, and faculty recruitment. From 2018 to 2020, he held a position as Associante Senior Lecturer as part of the vice cancellor’s strategic initiative for faculty defelopment. Before joining AASS in 2018, he was a post-doctoral researcher and before that PhD. student in Computer Science (Computer Vision and Robotics) at the Computer Vision and Active Perception Lab (CVAP) at the Royal Institute of Technology (KTH) in Stockholm. He did his post-graduate research as a member of Professor Danica Kragic’s research group where his co-supervisors were Dr. Carl Henrik Ek and Dr. Yasemin Bekiroglu. Before that, he spent several years of his undergraduate studies at the University of Freiburg, Germany, as a student research assistant at the Social Robotics Lab of Professor Kai O. Arras. He holds a MSc. and a BSc. degree in Computer Science with concentration in Artificial Intelligence and Robotics from Freiburg University.


Publications

Journal Articles

[1] J. A. Stork. Preparing to adapt is key for Olympic curling robots. Science robotics, 5(46), 2020 [ BibTeX | DiVA ]
[2] W. Yuan, K. Hang, D. Kragic, M. Y. Wang and J. A. Stork. End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer. Robotics and Autonomous Systems, 119:119-134, 2019 [ BibTeX | DiVA ]
[3] K. Hang, X. Lyu, H. Song, J. A. Stork, A. Dollar, D. Kragic and F. Zhang. Perching and resting : A paradigm for UAV maneuvering with modularized landing gears. Science Robotics, 4(28), 2019 [ BibTeX | DiVA ]
[4] K. Hang, J. A. Stork, N. S. Pollard and D. Kragic. A Framework For Optimal Grasp Contact Planning. IEEE Robotics and Automation Letters, 2(2):704-711, 2017 [ BibTeX | DiVA ]
[5] K. Hang, M. Li, J. A. Stork, Y. Bekiroglu, F. T. Pokorny, A. Billard and D. Kragic. Hierarchical fingertip space : A unified framework for grasp planning and in-hand grasp adaptation. IEEE Transactions on robotics, 32(4):960-972, 2016 [ BibTeX | DiVA ]

Refereed Conference and Workshop Articles

[1] J. A. Stork and T. Stoyanov. Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. In IEEE International Conference on Robotics and Automation, pages 10758-10764, 2020 [ BibTeX | DiVA ]
[2] H. Song, J. A. Haustein, W. Yuan, K. Hang, M. Y. Wang, D. Kragic and J. A. Stork. Multi-Object Rearrangement with Monte Carlo Tree Search : A Case Study on Planar Nonprehensile Sorting. 2020 [ BibTeX | DiVA ]
[3] A. Isac, C. J. Frederico, D. Kragic and J. A. Stork. The effect of Target Normalization and Momentum on Dying ReLU. In The 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS) 2020 [ BibTeX | DiVA ]
[4] I. Mitsioni, Y. Karayiannidis, J. A. Stork and D. Kragic. Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. In IEEE-RAS International Conference on Humanoid Robots, pages 244-250, 2019 [ BibTeX | DiVA ]
[5] J. A. Haustein, K. Hang, J. A. Stork and D. Kragic. Object Placement Planning and optimization for Robot Manipulators. In IEEE International Conference on Intelligent Robots and Systems, pages 7417-7424, 2019 [ BibTeX | DiVA ]
[6] W. Yuan, K. Hang, H. Song, D. Kragic, M. Y. Wang and J. A. Stork. Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. In 2019 International Conference on Robotics and Automation (ICRA), pages 2153-2160, 2019 [ BibTeX | DiVA ]
[7] I. Arnekvist, D. Kragic and J. A. Stork. VPE : Variational Policy Embedding for Transfer Reinforcement Learning. In 2019 International Conference on Robotics and Automation (ICRA), pages 36-42, 2019 [ BibTeX | DiVA ]
[8] R. Antonova, M. Kokic, J. A. Stork and D. Kragic. Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. In Proceedings of Machine Learning Research : Conference on Robot Learning 2018, 87:641-650, 2018 [ BibTeX | DiVA ]
[9] J. A. Haustein, I. Arnekvist, J. A. Stork, K. Hang and D. Kragic. Non-prehensile Rearrangement Planning with Learned Manipulation States and Actions. 2018 [ BibTeX | DiVA ]
[10] W. Yuan, J. A. Stork, D. Kragic, M. Y. Wang and K. Hang. Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages 270-277, 2018 [ BibTeX | DiVA ]
[11] M. Kokic, J. A. Stork, J. A. Haustein and D. Kragic. Affordance detection for task-specific grasping using deep learning. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages 91-98, 2017 [ BibTeX | DiVA ]
[12] A. Thippur, J. A. Stork and P. Jensfelt. Non-Parametric Spatial Context Structure Learning for Autonomous Understanding of Human Environments. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pages 1317-1324, 2017 [ BibTeX | DiVA ]
[13] Y. Bekiroglu, A. Damianou, R. Detry, J. A. Stork, D. Kragic and C. H. Ek. Probabilistic consolidation of grasp experience. In 2016 IEEE International Conference on Robotics and Automation (ICRA), pages 193-200, 2016 [ BibTeX | DiVA ]
[14] J. A. Stork, C. H. Ek, Y. Bekiroglu and D. Kragic. Learning Predictive State Representation for In-Hand Manipulation. In 2015 IEEE International Conference on Robotics and Automation (ICRA), pages 3207-3214, 2015 [ BibTeX | DiVA ]
[15] J. A. Stork, C. H. Ek and D. Kragic. Learning Predictive State Representations for planning. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3427-3434, 2015 [ BibTeX | DiVA ]
[16] J. A. Stork, C. H. Ek and D. Kragic. Learning Predictive State Representations for planning. 2015 [ BibTeX | DiVA ]
[17] K. Hang, J. A. Stork, F. T. Pokorny and D. Kragic. Combinatorial optimization for hierarchical contact-level grasping. In 2014 IEEE International Conference on Robotics and Automation (ICRA), pages 381-388, 2014 [ BibTeX | DiVA ]
[18] A. Marzinotto, J. A. Stork, D. V. Dimarogonas and D. Kragic. Cooperative grasping through topological object representation. In 2014 IEEE-RAS International Conference on Humanoid Robots, pages 685-692, 2014 [ BibTeX | DiVA ]
[19] K. Hang, J. A. Stork and D. Kragic. Hierarchical fingertip space for multi-fingered precision grasping. In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1641-1648, 2014 [ BibTeX | DiVA ]
[20] K. Hang, M. Li, J. A. Stork, Y. Bekiroglu, A. Billard and D. Kragic. Hierarchical Fingertip Space for Synthesizing Adaptable Fingertip Grasps. 2014 [ BibTeX | DiVA ]
[21] J. A. Stork, F. T. Pokorny and D. Kragic. A topology-based object representation for clasping, latching and hooking. In 2013 13TH IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), pages 138-145, 2013 [ BibTeX | DiVA ]
[22] F. T. Pokorny, J. A. Stork and D. Kragic. Grasping Objects with Holes : A Topological Approach. In 2013 IEEE International Conference on Robotics and Automation, pages 1100-1107, 2013 [ BibTeX | DiVA ]
[23] J. A. Stork, F. T. Pokorny and D. Kragic. Integrated motion and clasp planning with virtual linking. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 3007-3014, 2013 [ BibTeX | DiVA ]
[24] J. A. Stork, F. T. Pokorny and D. Kragic. Towards Postural Synergies for Caging Grasps. 2013 [ BibTeX | DiVA ]
[25] J. A. Stork, L. Spinello, J. Silva and K. O. Arras. Audio-Based Human Activity Recognition Using Non-Markovian Ensemble Voting. In 2012 IEEE RO-MAN : The 21st IEEE International Symposium on Robot and Human Interactive Communication, pages 509-514, 2012 [ BibTeX | DiVA ]
[26] J. A. Stork, J. Silva, L. Spinello and K. O. Arras. Audio-Based Human Activity Recognition with Robots. 2011 [ BibTeX | DiVA ]
[27] M. Luber, J. A. Stork, G. D. Tipaldi and K. O. Arras. People tracking with human motion predictions from social forces. In 2010 IEEE International Conference on Robotics and Automation, Proceedings, pages 464-469, 2010 [ BibTeX | DiVA ]