People tracking with human motion predictions from social forces. - Matthias Luber; Johannes Andreas Stork; Gian Diego Tipaldi; Kai Oliver Arras (ICRA, 2010)

Audio-based human activity recognition using Non-Markovian Ensemble Voting. - Johannes Andreas Stork; Luciano Spinello; Jens Silva; Kai Oliver Arras (RO-MAN, 2012)

Grasping objects with holes: A topological approach. - Florian T. Pokorny; Johannes A. Stork; Danica Kragic (ICRA, 2013)

Integrated motion and clasp planning with virtual linking. - Johannes A. Stork; Florian T. Pokorny; Danica Kragic (IROS, 2013)

Cooperative grasping through topological object representation. - Alejandro Marzinotto; Johannes A. Stork; Dimos V. Dimarogonas; Danica Kragic (Humanoids, 2014)

Combinatorial optimization for hierarchical contact-level grasping. - Kaiyu Hang; Johannes A. Stork; Florian T. Pokorny; Danica Kragic (ICRA, 2014)

Hierarchical Fingertip Space for multi-fingered precision grasping. - Kaiyu Hang; Johannes A. Stork; Danica Kragic (IROS, 2014)

Learning Predictive State Representation for in-hand manipulation. - Johannes A. Stork; Carl Henrik Ek; Yasemin Bekiroglu; Danica Kragic (ICRA, 2015)

Learning Predictive State Representations for planning. - Johannes A. Stork; Carl Henrik Ek; Danica Kragic (IROS, 2015)

Probabilistic consolidation of grasp experience. - Yasemin Bekiroglu; Andreas C. Damianou; Renaud Detry; Johannes A. Stork; Danica Kragic; Carl Henrik Ek (ICRA, 2016)

Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation. - Alejandro Marzinotto; Johannes A. Stork (CoRR, 2016)

Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation. - Kaiyu Hang; Miao Li 002; Johannes A. Stork; Yasemin Bekiroglu; Florian T. Pokorny; Aude Billard; Danica Kragic (IEEE Trans. Robotics, 2016)

Representation and Learning for Robotic Grasping, Caging, and Planning. - Johannes Andreas Stork (2016)

Affordance detection for task-specific grasping using deep learning. - Mia Kokic; Johannes A. Stork; Joshua A. Haustein; Danica Kragic (Humanoids, 2017)

Non-parametric spatial context structure learning for autonomous understanding of human environments. - Akshaya Thippur; Johannes A. Stork; Patric Jensfelt (RO-MAN, 2017)

A Framework for Optimal Grasp Contact Planning. - Kaiyu Hang; Johannes A. Stork; Nancy S. Pollard; Danica Kragic (IEEE Robotics Autom. Lett., 2017)

Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. - Rika Antonova; Mia Kokic; Johannes A. Stork; Danica Kragic (CoRL, 2018)

Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning. - Weihao Yuan 001; Johannes A. Stork; Danica Kragic; Michael Yu Wang; Kaiyu Hang (ICRA, 2018)

Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting. - Ioanna Mitsioni; Yiannis Karayiannidis; Johannes A. Stork; Danica Kragic (Humanoids, 2019)

VPE: Variational Policy Embedding for Transfer Reinforcement Learning. - Isac Arnekvist; Danica Kragic; Johannes A. Stork (ICRA, 2019)

Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. - Weihao Yuan 001; Kaiyu Hang; Haoran Song; Danica Kragic; Michael Yu Wang; Johannes A. Stork (ICRA, 2019)

Object Placement Planning and optimization for Robot Manipulators. - Joshua A. Haustein; Kaiyu Hang; Johannes A. Stork; Danica Kragic (IROS, 2019)

Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning. - Joshua A. Haustein; Isac Arnekvist; Johannes A. Stork; Kaiyu Hang; Danica Kragic (CoRR, 2019)

Data-Driven Model Predictive Control for Food-Cutting. - Ioanna Mitsioni; Yiannis Karayiannidis; Johannes A. Stork; Danica Kragic (CoRR, 2019)

End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer. - Weihao Yuan 001; Kaiyu Hang; Danica Kragic; Michael Yu Wang; Johannes A. Stork (Robotics Auton. Syst., 2019)

Perching and resting - A paradigm for UAV maneuvering with modularized landing gears. - Kaiyu Hang; Ximin Lyu; Haoran Song; Johannes A. Stork; Aaron M. Dollar; Danica Kragic; Fu Zhang 002 (Sci. Robotics, 2019)

Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data. - Johannes A. Stork; Todor Stoyanov (ICRA, 2020)

Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting. - Haoran Song; Joshua A. Haustein; Weihao Yuan 001; Kaiyu Hang; Michael Yu Wang; Danica Kragic; Johannes A. Stork (IROS, 2020)

The effect of Target Normalization and Momentum on Dying ReLU. - Isac Arnekvist; J. Frederico Carvalho 001; Danica Kragic; Johannes A. Stork (CoRR, 2020)

Preparing to adapt is key for Olympic curling robots. - Johannes A. Stork (Sci. Robotics, 2020)

Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (ECMR, 2021)

Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics. - Yuxuan Yang 003; Johannes A. Stork; Todor Stoyanov (ICRA, 2021)

Context-Aware Grasp Generation in Cluttered Scenes. - Dinh-Cuong Hoang; Johannes A. Stork; Todor Stoyanov (ICRA, 2022)

Online Model Learning for Shape Control of Deformable Linear Objects. - Yuxuan Yang 003; Johannes A. Stork; Todor Stoyanov (IROS, 2022)

Towards Task-Prioritized Policy Composition. - Finn Rietz; Erik Schaffernicht; Todor Stoyanov; Johannes A. Stork (CoRR, 2022)

Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (CoRR, 2022)

Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees. - Marco Iannotta; David Cáceres-Domínguez; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (CoRR, 2022)

Visual state estimation in unseen environments through domain adaptation and metric learning. - Püren Güler; Johannes A. Stork; Todor Stoyanov (Frontiers Robotics AI, 2022)

A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control. - David Cáceres-Domínguez; Marco Iannotta; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds. - Dinh-Cuong Hoang; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Online Distance Field Priors for Gaussian Process Implicit Surfaces. - Jean-Paul A. Ivan; Todor Stoyanov; Johannes A. Stork (IEEE Robotics Autom. Lett., 2022)

Variable Impedance Skill Learning for Contact-Rich Manipulation. - Quantao Yang; Alexander Dürr; Elin Anna Topp; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Particle Filters in Latent Space for Robust Deformable Linear Object Tracking. - Yuxuan Yang 003; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Learning differentiable dynamics models for shape control of deformable linear objects. - Yuxuan Yang 003; Johannes A. Stork; Todor Stoyanov (Robotics Auton. Syst., 2022)

Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (CASE, 2023)

Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer. - Finn Rietz; Johannes Andreas Stork (CoRR, 2023)

Hierarchical goals contextualize local reward decomposition explanations. - Finn Rietz; Sven Magg; Fredrik Heintz; Todor Stoyanov; Stefan Wermter; Johannes A. Stork (Neural Comput. Appl., 2023)

Tracking Branched Deformable Linear Objects Using Particle Filtering on Depth Images. - Yuxuan Yang 003; Johannes A. Stork; Todor Stoyanov (CASE, 2024)

On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement. - Ahmad Saeed Khan; Erik Schaffernicht; Johannes Andreas Stork (ECAI, 2024)

Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks. - Alan A. Lahoud; Erik Schaffernicht; Johannes A. Stork (ICANN (1), 2024)

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (ICLR, 2024)

Learning Extrinsic Dexterity with Parameterized Manipulation Primitives. - Shih-Min Yang; Martin Magnusson 002; Johannes A. Stork; Todor Stoyanov (ICRA, 2024)

DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context. - Alan A. Lahoud; Erik Schaffernicht; Johannes A. Stork (UAI, 2024)

Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies. - Finn Rietz; Erik Schaffernicht; Stefan Heinrich; Johannes A. Stork (CoRR, 2024)

THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces. - Tiago Rodrigues de Almeida 001; Tim Schreiter; Andrey Rudenko; Luigi Palmieiri; Johannes A. Stork; Achim J. Lilienthal (CoRR, 2024)

Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets. - Tiago Rodrigues de Almeida 001; Yufei Zhu; Andrey Rudenko; Tomasz Piotr Kucner; Johannes A. Stork; Martin Magnusson 002; Achim J. Lilienthal (IEEE Robotics Autom. Lett., 2024)

THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces. - Tiago Rodrigues de Almeida 001; Tim Schreiter; Andrey Rudenko; Luigi Palmieri; Johannes A. Stork; Achim J. Lilienthal (HRI, 2025)

On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning. - Marco Iannotta; Johannes A. Stork; Erik Schaffernicht; Todor Stoyanov (CoRR, 2025)

KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies. - Shih-Min Yang; Martin Magnusson 002; Johannes A. Stork; Todor Stoyanov (CoRR, 2025)

Predict-and-Optimize Techniques for Data-Driven Optimization Problems: A Review. - Alan A. Lahoud; Ahmad Saeed Khan; Erik Schaffernicht; Marco Trincavelli; Johannes Andreas Stork (Neural Process. Lett., 2025)

ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning. - Rahel Rickenbach; Alan A. Lahoud; Erik Schaffernicht; Melanie N. Zeilinger; Johannes A. Stork (CoRR, 2025)

DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation. - Ahmad Saeed Khan; Erik Schaffernicht; Johannes Andreas Stork (CoRR, 2025)