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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Publications

[1] I. Mitsioni, Y. Karayiannidis, J. A. Stork and D. Kragic. Data-Driven Model Predictive Control for Food-Cutting. [ 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. [ BibTeX | DiVA ]
[3] J. A. Haustein, K. Hang, J. A. Stork and D. Kragic. Object placement planning and optimization for robot manipulators. [ BibTeX | DiVA ]
[4] 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 ]
[5] 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 ]
[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] 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. 2018 [ BibTeX | DiVA ]
[12] I. Arnekvist, D. Kragic and J. A. Stork. VPE: Variational Policy Embedding for Transfer Reinforcement Learning. 2018 [ BibTeX | DiVA ]
[13] 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 ]
[14] 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 ]
[15] 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 ]
[16] 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 ]
[17] 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 ]
[18] A. Marzinotto and J. A. Stork. Rope through Loop Insertion for Robotic Knotting : A Virtual Magnetic Field Formulation. , pages 8, 2016 [ BibTeX | DiVA ]
[19] 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 ]
[20] 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 ]
[21] J. A. Stork, C. H. Ek and D. Kragic. Learning Predictive State Representations for planning. 2015 [ BibTeX | DiVA ]
[22] 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 ]
[23] 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 ]
[24] 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 ]
[25] 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 ]
[26] 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 ]
[27] 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 ]
[28] 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 ]
[29] J. A. Stork, F. T. Pokorny and D. Kragic. Towards Postural Synergies for Caging Grasps. 2013 [ BibTeX | DiVA ]
[30] 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 ]
[31] J. A. Stork, J. Silva, L. Spinello and K. O. Arras. Audio-Based Human Activity Recognition with Robots. 2011 [ BibTeX | DiVA ]
[32] 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 ]
[33] I. Mitsioni, Y. Karayiannidis, J. A. Stork and D. Kragic. Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. 2019 [ BibTeX | DiVA ]
[34] 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 ]
[35] J. A. Haustein, I. Arnekvist, J. A. Stork, K. Hang and D. Kragic. Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. 2019 [ BibTeX | DiVA ]