Johannes A. Stork

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 53

Top Topics

Reinforcement Learning

Model Predictive Control

Monte Carlo Tree Search

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. ICLR (2024)
Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. CoRR (2024)
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) (2024)
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. ICRA (2024)
Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. CoRR (2024)
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. CoRR (2023)
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) (2023)
Quantao Yang, Johannes A. Stork, Todor Stoyanov
Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks. CASE (2023)
Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR (2022)
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) (2022)
Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
Towards Task-Prioritized Policy Composition. CoRR (2022)
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) (2022)
Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
Online Model Learning for Shape Control of Deformable Linear Objects. IROS (2022)
Püren Güler, Johannes A. Stork, Todor Stoyanov
Visual state estimation in unseen environments through domain adaptation and metric learning. Future Internet 9 (2022)
Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
Learning differentiable dynamics models for shape control of deformable linear objects. Robotics Auton. Syst. 158 (2022)
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) (2022)
Jean-Paul A. Ivan, Todor Stoyanov, Johannes A. Stork
Online Distance Field Priors for Gaussian Process Implicit Surfaces. IEEE Robotics Autom. Lett. 7 (4) (2022)
Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
Particle Filters in Latent Space for Robust Deformable Linear Object Tracking. IEEE Robotics Autom. Lett. 7 (4) (2022)
Quantao Yang, Johannes A. Stork, Todor Stoyanov
MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. IEEE Robotics Autom. Lett. 7 (3) (2022)
Püren Güler, Johannes A. Stork, Todor Stoyanov
Visual state estimation in unseen environments through domain adaptation and metric learning. Frontiers Robotics AI 9 (2022)
Dinh-Cuong Hoang, Johannes A. Stork, Todor Stoyanov
Context-Aware Grasp Generation in Cluttered Scenes. ICRA (2022)
Quantao Yang, Johannes A. Stork, Todor Stoyanov
Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. CoRR (2022)
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 (2022)
Quantao Yang, Johannes A. Stork, Todor Stoyanov
Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints. ECMR (2021)
Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. ICRA (2021)
Johannes A. Stork
Preparing to adapt is key for Olympic curling robots. Sci. Robotics 5 (46) (2020)
Johannes A. Stork, Todor Stoyanov
Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. CoRR (2020)
Isac Arnekvist, J. Frederico Carvalho, Danica Kragic, Johannes A. Stork
The effect of Target Normalization and Momentum on Dying ReLU. CoRR (2020)
Johannes A. Stork, Todor Stoyanov
Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. ICRA (2020)
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)
Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic
Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. Humanoids (2019)
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 (2019)
Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic
Object Placement Planning and Optimization for Robot Manipulators. CoRR (2019)
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)
Isac Arnekvist, Danica Kragic, Johannes A. Stork
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. ICRA (2019)
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)
Joshua A. Haustein, Isac Arnekvist, Johannes A. Stork, Kaiyu Hang, Danica Kragic
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. CoRR (2019)
Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic
Object Placement Planning and optimization for Robot Manipulators. IROS (2019)
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 (2019)
Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic
Data-Driven Model Predictive Control for Food-Cutting. CoRR (2019)
Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRR (2018)
Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRL (2018)
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 (2018)
Isac Arnekvist, Danica Kragic, Johannes A. Stork
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. CoRR (2018)
Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. CoRR (2018)
Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. ICRA (2018)
Akshaya Thippur, Johannes A. Stork, Patric Jensfelt
Non-parametric spatial context structure learning for autonomous understanding of human environments. RO-MAN (2017)
Kaiyu Hang, Johannes A. Stork, Nancy S. Pollard, Danica Kragic
A Framework for Optimal Grasp Contact Planning. IEEE Robotics Autom. Lett. 2 (2) (2017)
Mia Kokic, Johannes A. Stork, Joshua A. Haustein, Danica Kragic
Affordance detection for task-specific grasping using deep learning. Humanoids (2017)
Alejandro Marzinotto, Johannes A. Stork
Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation. CoRR (2016)
Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek
Probabilistic consolidation of grasp experience. ICRA (2016)
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) (2016)
Johannes A. Stork, Carl Henrik Ek, Danica Kragic
Learning Predictive State Representations for planning. IROS (2015)
Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic
Learning Predictive State Representation for in-hand manipulation. ICRA (2015)
Alejandro Marzinotto, Johannes A. Stork, Dimos V. Dimarogonas, Danica Kragic
Cooperative grasping through topological object representation. Humanoids (2014)
Kaiyu Hang, Johannes A. Stork, Danica Kragic
Hierarchical Fingertip Space for multi-fingered precision grasping. IROS (2014)
Kaiyu Hang, Johannes A. Stork, Florian T. Pokorny, Danica Kragic
Combinatorial optimization for hierarchical contact-level grasping. ICRA (2014)
Johannes A. Stork, Florian T. Pokorny, Danica Kragic
Integrated motion and clasp planning with virtual linking. IROS (2013)
Florian T. Pokorny, Johannes A. Stork, Danica Kragic
Grasping objects with holes: A topological approach. ICRA (2013)