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ORCIDJohannes A. Stork
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2020 – today
- 2024
[j15]Tiago Rodrigues de Almeida
, Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal:
Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets. IEEE Robotics Autom. Lett. 9(7): 6576-6583 (2024)- [c30]Yuxuan Yang, Johannes A. Stork, Todor Stoyanov:
Tracking Branched Deformable Linear Objects Using Particle Filtering on Depth Images. CASE 2024: 912-919 - [c29]Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. ECAI 2024: 2822-2829 - [c28]Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. ICANN (1) 2024: 147-162 - [c27]Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork:
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. ICLR 2024 - [c26]Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov:
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. ICRA 2024: 5404-5410 - [i22]Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork:
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. CoRR abs/2405.01198 (2024) - [i21]Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. CoRR abs/2405.04923 (2024) - [i20]Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork:
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. CoRR abs/2406.03082 (2024) - [i19]Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork:
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. CoRR abs/2407.20003 (2024) - 2023
- [j14]Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork:
Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. 35(23): 16693-16704 (2023) - [c25]Quantao Yang, Johannes A. Stork, Todor Stoyanov:
Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks. CASE 2023: 1-6 - [i18]Finn Rietz, Stefan Heinrich, Erik Schaffernicht, Johannes Andreas Stork:
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. CoRR abs/2310.02360 (2023) - [i17]Finn Rietz, Johannes Andreas Stork:
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer. CoRR abs/2310.07493 (2023) - [i16]Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov:
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. CoRR abs/2310.17785 (2023) - 2022
- [j13]Püren Güler, Johannes A. Stork, Todor Stoyanov:
Visual state estimation in unseen environments through domain adaptation and metric learning. Frontiers Robotics AI 9 (2022) - [j12]Quantao Yang, Johannes A. Stork, Todor Stoyanov:
MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. IEEE Robotics Autom. Lett. 7(3): 7652-7659 (2022) - [j11]Quantao Yang, Alexander Dürr, Elin Anna Topp, Johannes A. Stork, Todor Stoyanov:
Variable Impedance Skill Learning for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(3): 8391-8398 (2022) - [j10]Dinh-Cuong Hoang, Johannes A. Stork, Todor Stoyanov:
Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds. IEEE Robotics Autom. Lett. 7(4): 8980-8987 (2022) - [j9]Jean-Paul A. Ivan, Todor Stoyanov, Johannes A. Stork:
Online Distance Field Priors for Gaussian Process Implicit Surfaces. IEEE Robotics Autom. Lett. 7(4): 8996-9003 (2022) - [j8]David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov:
A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics Autom. Lett. 7(4): 12110-12117 (2022) - [j7]Yuxuan Yang, Johannes A. Stork, Todor Stoyanov:
Particle Filters in Latent Space for Robust Deformable Linear Object Tracking. IEEE Robotics Autom. Lett. 7(4): 12577-12584 (2022) - [j6]Yuxuan Yang, Johannes A. Stork, Todor Stoyanov:
Learning differentiable dynamics models for shape control of deformable linear objects. Robotics Auton. Syst. 158: 104258 (2022) - [c24]Dinh-Cuong Hoang, Johannes A. Stork, Todor Stoyanov:
Context-Aware Grasp Generation in Cluttered Scenes. ICRA 2022: 1492-1498 - [c23]Yuxuan Yang, Johannes A. Stork, Todor Stoyanov:
Online Model Learning for Shape Control of Deformable Linear Objects. IROS 2022: 4056-4062 - [i15]David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov:
A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control. CoRR abs/2209.08619 (2022) - [i14]Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork:
Towards Task-Prioritized Policy Composition. CoRR abs/2209.09536 (2022) - [i13]Quantao Yang, Johannes A. Stork, Todor Stoyanov:
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. CoRR abs/2210.02891 (2022) - [i12]Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov:
Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR abs/2210.08600 (2022) - 2021
- [c22]Quantao Yang, Johannes A. Stork, Todor Stoyanov:
Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints. ECMR 2021: 1-6 - [c21]Yuxuan Yang, Johannes A. Stork, Todor Stoyanov:
Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. ICRA 2021: 1950-1957 - 2020
- [j5]Johannes A. Stork:
Preparing to adapt is key for Olympic curling robots. Sci. Robotics 5(46): 2547 (2020) - [c20]Johannes A. Stork, Todor Stoyanov:
Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. ICRA 2020: 10758-10764 - [c19]Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork:
Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. IROS 2020: 9433-9440 - [i11]Johannes A. Stork, Todor Stoyanov:
Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. CoRR abs/2002.04911 (2020) - [i10]Isac Arnekvist, J. Frederico Carvalho, Danica Kragic, Johannes A. Stork:
The effect of Target Normalization and Momentum on Dying ReLU. CoRR abs/2005.06195 (2020)
2010 – 2019
- 2019
- [j4]Weihao Yuan, Kaiyu Hang, Danica Kragic, Michael Yu Wang, Johannes A. Stork:
End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer. Robotics Auton. Syst. 119: 119-134 (2019) - [j3]Kaiyu Hang, Ximin Lyu, Haoran Song, Johannes A. Stork, Aaron M. Dollar, Danica Kragic, Fu Zhang:
Perching and resting - A paradigm for UAV maneuvering with modularized landing gears. Sci. Robotics 4(28) (2019) - [c18]Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic:
Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. Humanoids 2019: 244-250 - [c17]Isac Arnekvist, Danica Kragic, Johannes A. Stork:
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. ICRA 2019: 36-42 - [c16]Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork:
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. ICRA 2019: 2153-2160 - [c15]Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic:
Object Placement Planning and optimization for Robot Manipulators. IROS 2019: 7417-7424 - [i9]Joshua A. Haustein, Isac Arnekvist, Johannes A. Stork, Kaiyu Hang, Danica Kragic:
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. CoRR abs/1901.03557 (2019) - [i8]Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic:
Data-Driven Model Predictive Control for Food-Cutting. CoRR abs/1903.03831 (2019) - [i7]Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic:
Object Placement Planning and Optimization for Robot Manipulators. CoRR abs/1907.02555 (2019) - [i6]Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork:
Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. CoRR abs/1912.07024 (2019) - 2018
- [c14]Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic:
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRL 2018: 641-650 - [c13]Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang:
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. ICRA 2018: 270-277 - [i5]Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang:
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. CoRR abs/1803.05752 (2018) - [i4]Isac Arnekvist, Danica Kragic, Johannes A. Stork:
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. CoRR abs/1809.03548 (2018) - [i3]Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork:
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. CoRR abs/1809.04322 (2018) - [i2]Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic:
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRR abs/1810.04438 (2018) - 2017
- [j2]Kaiyu Hang, Johannes A. Stork, Nancy S. Pollard, Danica Kragic:
A Framework for Optimal Grasp Contact Planning. IEEE Robotics Autom. Lett. 2(2): 704-711 (2017) - [c12]Mia Kokic, Johannes A. Stork, Joshua A. Haustein, Danica Kragic:
Affordance detection for task-specific grasping using deep learning. Humanoids 2017: 91-98 - [c11]Akshaya Thippur, Johannes A. Stork, Patric Jensfelt:
Non-parametric spatial context structure learning for autonomous understanding of human environments. RO-MAN 2017: 1317-1324 - 2016
- [b1]Johannes Andreas Stork:
Representation and Learning for Robotic Grasping, Caging, and Planning. Royal Institute of Technology, Stockholm, Sweden, 2016 - [j1]Kaiyu Hang, Miao Li, Johannes A. Stork, Yasemin Bekiroglu, Florian T. Pokorny, Aude Billard, Danica Kragic:
Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation. IEEE Trans. Robotics 32(4): 960-972 (2016) - [c10]Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek:
Probabilistic consolidation of grasp experience. ICRA 2016: 193-200 - [i1]Alejandro Marzinotto, Johannes A. Stork:
Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation. CoRR abs/1611.06070 (2016) - 2015
- [c9]Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic:
Learning Predictive State Representation for in-hand manipulation. ICRA 2015: 3207-3214 - [c8]Johannes A. Stork, Carl Henrik Ek, Danica Kragic:
Learning Predictive State Representations for planning. IROS 2015: 3427-3434 - 2014
- [c7]Alejandro Marzinotto, Johannes A. Stork, Dimos V. Dimarogonas, Danica Kragic:
Cooperative grasping through topological object representation. Humanoids 2014: 685-692 - [c6]Kaiyu Hang, Johannes A. Stork, Florian T. Pokorny, Danica Kragic:
Combinatorial optimization for hierarchical contact-level grasping. ICRA 2014: 381-388 - [c5]Kaiyu Hang, Johannes A. Stork, Danica Kragic:
Hierarchical Fingertip Space for multi-fingered precision grasping. IROS 2014: 1641-1648 - 2013
- [c4]Florian T. Pokorny, Johannes A. Stork, Danica Kragic:
Grasping objects with holes: A topological approach. ICRA 2013: 1100-1107 - [c3]Johannes A. Stork, Florian T. Pokorny, Danica Kragic:
Integrated motion and clasp planning with virtual linking. IROS 2013: 3007-3014 - 2012
- [c2]Johannes Andreas Stork, Luciano Spinello, Jens Silva, Kai Oliver Arras:
Audio-based human activity recognition using Non-Markovian Ensemble Voting. RO-MAN 2012: 509-514 - 2010
- [c1]Matthias Luber, Johannes Andreas Stork, Gian Diego Tipaldi, Kai Oliver Arras:
People tracking with human motion predictions from social forces. ICRA 2010: 464-469
Coauthor Index
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