Johannes A. Stork

72 papers A* 14A 7B 1Misc 1Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Progress Constraints for Reinforcement Learning in Behavior Trees. CoRR Finn Rietz, Mart Kartasev, Petter Ögren, Johannes A. Stork
2025	J	`jnl`	Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies. CoRR Marco Iannotta, Yuxuan Yang, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2025	J	`jnl`	Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2025	A*	`conf`	KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies. ICML Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
2025	J	`jnl`	KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies. CoRR Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
2025	J	`jnl`	On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning. CoRR Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2025	A*	`conf`	THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces. HRI Tiago Rodrigues de Almeida, Tim Schreiter, Andrey Rudenko, Luigi Palmieri, Johannes A. Stork, Achim J. Lilienthal
2025	J	`jnl`	Trajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets. CoRR Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal
2025	J	`jnl`	ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning. CoRR Rahel Rickenbach, Alan A. Lahoud, Erik Schaffernicht, Melanie N. Zeilinger, Johannes A. Stork
2024	A	`conf`	DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. UAI Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	J	`jnl`	DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	A*	`conf`	Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. ICRA Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
2024	—	`conf`	Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. ICANN (1) Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	J	`jnl`	Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. CoRR Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
2024	A*	`conf`	Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. ICLR Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2024	J	`jnl`	THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces. CoRR Tiago Rodrigues de Almeida, Tim Schreiter, Andrey Rudenko, Luigi Palmieiri, Johannes A. Stork, Achim J. Lilienthal
2024	J	`jnl`	Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. CoRR Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
2024	—	`conf`	Tracking Branched Deformable Linear Objects Using Particle Filtering on Depth Images. CASE Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
2024	J	`jnl`	Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets. IEEE Robotics Autom. Lett. Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal
2023	J	`jnl`	Hierarchical goals contextualize local reward decomposition explanations. Neural Comput. Appl. Finn Rietz, Sven Magg, Fredrik Heintz, Todor Stoyanov, Stefan Wermter, Johannes A. Stork
2023	—	`conf`	Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks. CASE Quantao Yang, Johannes A. Stork, Todor Stoyanov
2023	J	`jnl`	Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. CoRR Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. IEEE Robotics Autom. Lett. David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	J	`jnl`	A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control. CoRR David Cáceres-Domínguez, Marco Iannotta, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	A*	`conf`	Context-Aware Grasp Generation in Cluttered Scenes. ICRA Dinh-Cuong Hoang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. CoRR Marco Iannotta, David Cáceres-Domínguez, Johannes A. Stork, Erik Schaffernicht, Todor Stoyanov
2022	J	`jnl`	Learning differentiable dynamics models for shape control of deformable linear objects. Robotics Auton. Syst. Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. IEEE Robotics Autom. Lett. Quantao Yang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Online Distance Field Priors for Gaussian Process Implicit Surfaces. IEEE Robotics Autom. Lett. Jean-Paul A. Ivan, Todor Stoyanov, Johannes A. Stork
2022	A	`conf`	Online Model Learning for Shape Control of Deformable Linear Objects. IROS Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Particle Filters in Latent Space for Robust Deformable Linear Object Tracking. IEEE Robotics Autom. Lett. Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Towards Task-Prioritized Policy Composition. CoRR Finn Rietz, Erik Schaffernicht, Todor Stoyanov, Johannes A. Stork
2022	J	`jnl`	Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. CoRR Quantao Yang, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Variable Impedance Skill Learning for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. Quantao Yang, Alexander Dürr, Elin Anna Topp, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Visual state estimation in unseen environments through domain adaptation and metric learning. Frontiers Robotics AI Püren Güler, Johannes A. Stork, Todor Stoyanov
2022	J	`jnl`	Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds. IEEE Robotics Autom. Lett. Dinh-Cuong Hoang, Johannes A. Stork, Todor Stoyanov
2021	A*	`conf`	Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. ICRA Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
2021	—	`conf`	Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints. ECMR Quantao Yang, Johannes A. Stork, Todor Stoyanov
2020	A*	`conf`	Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. ICRA Johannes A. Stork, Todor Stoyanov
2020	J	`jnl`	Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. CoRR Johannes A. Stork, Todor Stoyanov
2020	A	`conf`	Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. IROS Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork
2020	J	`jnl`	Preparing to adapt is key for Olympic curling robots. Sci. Robotics Johannes A. Stork
2020	J	`jnl`	The effect of Target Normalization and Momentum on Dying ReLU. CoRR Isac Arnekvist, J. Frederico Carvalho, Danica Kragic, Johannes A. Stork
2019	J	`jnl`	Data-Driven Model Predictive Control for Food-Cutting. CoRR Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic
2019	—	`conf`	Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. Humanoids Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic
2019	J	`jnl`	End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer. Robotics Auton. Syst. Weihao Yuan, Kaiyu Hang, Danica Kragic, Michael Yu Wang, Johannes A. Stork
2019	J	`jnl`	Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. CoRR Joshua A. Haustein, Isac Arnekvist, Johannes A. Stork, Kaiyu Hang, Danica Kragic
2019	J	`jnl`	Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. CoRR Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork
2019	J	`jnl`	Object Placement Planning and Optimization for Robot Manipulators. CoRR Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic
2019	A	`conf`	Object Placement Planning and optimization for Robot Manipulators. IROS Joshua A. Haustein, Kaiyu Hang, Johannes A. Stork, Danica Kragic
2019	J	`jnl`	Perching and resting - A paradigm for UAV maneuvering with modularized landing gears. Sci. Robotics Kaiyu Hang, Ximin Lyu, Haoran Song, Johannes A. Stork, Aaron M. Dollar, Danica Kragic, Fu Zhang
2019	A*	`conf`	Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. ICRA Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork
2019	A*	`conf`	VPE: Variational Policy Embedding for Transfer Reinforcement Learning. ICRA Isac Arnekvist, Danica Kragic, Johannes A. Stork
2018	Misc	`conf`	Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRL Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic
2018	J	`jnl`	Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. CoRR Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic
2018	A*	`conf`	Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. ICRA Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang
2018	J	`jnl`	Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. CoRR Weihao Yuan, Johannes A. Stork, Danica Kragic, Michael Yu Wang, Kaiyu Hang
2018	J	`jnl`	Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. CoRR Weihao Yuan, Kaiyu Hang, Haoran Song, Danica Kragic, Michael Yu Wang, Johannes A. Stork
2018	J	`jnl`	VPE: Variational Policy Embedding for Transfer Reinforcement Learning. CoRR Isac Arnekvist, Danica Kragic, Johannes A. Stork
2017	J	`jnl`	A Framework for Optimal Grasp Contact Planning. IEEE Robotics Autom. Lett. Kaiyu Hang, Johannes A. Stork, Nancy S. Pollard, Danica Kragic
2017	—	`conf`	Affordance detection for task-specific grasping using deep learning. Humanoids Mia Kokic, Johannes A. Stork, Joshua A. Haustein, Danica Kragic
2017	B	`conf`	Non-parametric spatial context structure learning for autonomous understanding of human environments. RO-MAN Akshaya Thippur, Johannes A. Stork, Patric Jensfelt
2016	J	`jnl`	Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation. IEEE Trans. Robotics Kaiyu Hang, Miao Li, Johannes A. Stork, Yasemin Bekiroglu, Florian T. Pokorny, Aude Billard, Danica Kragic
2016	A*	`conf`	Probabilistic consolidation of grasp experience. ICRA Yasemin Bekiroglu, Andreas C. Damianou, Renaud Detry, Johannes A. Stork, Danica Kragic, Carl Henrik Ek
2016	J	`jnl`	Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation. CoRR Alejandro Marzinotto, Johannes A. Stork
2015	A*	`conf`	Learning Predictive State Representation for in-hand manipulation. ICRA Johannes A. Stork, Carl Henrik Ek, Yasemin Bekiroglu, Danica Kragic
2015	A	`conf`	Learning Predictive State Representations for planning. IROS Johannes A. Stork, Carl Henrik Ek, Danica Kragic
2014	A*	`conf`	Combinatorial optimization for hierarchical contact-level grasping. ICRA Kaiyu Hang, Johannes A. Stork, Florian T. Pokorny, Danica Kragic
2014	—	`conf`	Cooperative grasping through topological object representation. Humanoids Alejandro Marzinotto, Johannes A. Stork, Dimos V. Dimarogonas, Danica Kragic
2014	A	`conf`	Hierarchical Fingertip Space for multi-fingered precision grasping. IROS Kaiyu Hang, Johannes A. Stork, Danica Kragic
2013	A*	`conf`	Grasping objects with holes: A topological approach. ICRA Florian T. Pokorny, Johannes A. Stork, Danica Kragic
2013	A	`conf`	Integrated motion and clasp planning with virtual linking. IROS Johannes A. Stork, Florian T. Pokorny, Danica Kragic