Johannes A. Stork

Orcid: 0000-0003-3958-6179

According to our database1, Johannes A. Stork authored at least 56 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 1994, "For contributions to SiGe heterojunction bipolar technology.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets.
IEEE Robotics Autom. Lett., July, 2024

DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context.
CoRR, 2024

Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies.
CoRR, 2024

Learning Extrinsic Dexterity with Parameterized Manipulation Primitives.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Tracking Branched Deformable Linear Objects Using Particle Filtering on Depth Images.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Hierarchical goals contextualize local reward decomposition explanations.
Neural Comput. Appl., August, 2023

Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer.
CoRR, 2023

Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Learning differentiable dynamics models for shape control of deformable linear objects.
Robotics Auton. Syst., 2022

Particle Filters in Latent Space for Robust Deformable Linear Object Tracking.
IEEE Robotics Autom. Lett., 2022

MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer.
IEEE Robotics Autom. Lett., 2022

Variable Impedance Skill Learning for Contact-Rich Manipulation.
IEEE Robotics Autom. Lett., 2022

Online Distance Field Priors for Gaussian Process Implicit Surfaces.
IEEE Robotics Autom. Lett., 2022

Voting and Attention-Based Pose Relation Learning for Object Pose Estimation From 3D Point Clouds.
IEEE Robotics Autom. Lett., 2022

A Stack-of-Tasks Approach Combined With Behavior Trees: A New Framework for Robot Control.
IEEE Robotics Autom. Lett., 2022

Visual state estimation in unseen environments through domain adaptation and metric learning.
Frontiers Robotics AI, 2022

Heterogeneous Full-body Control of a Mobile Manipulator with Behavior Trees.
CoRR, 2022

Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation.
CoRR, 2022

Towards Task-Prioritized Policy Composition.
CoRR, 2022

Online Model Learning for Shape Control of Deformable Linear Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Context-Aware Grasp Generation in Cluttered Scenes.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints.
Proceedings of the 10th European Conference on Mobile Robots, 2021

2020
Preparing to adapt is key for Olympic curling robots.
Sci. Robotics, 2020

The effect of Target Normalization and Momentum on Dying ReLU.
CoRR, 2020

Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Perching and resting - A paradigm for UAV maneuvering with modularized landing gears.
Sci. Robotics, 2019

End-to-end nonprehensile rearrangement with deep reinforcement learning and simulation-to-reality transfer.
Robotics Auton. Syst., 2019

Data-Driven Model Predictive Control for Food-Cutting.
CoRR, 2019

Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning.
CoRR, 2019

Object Placement Planning and optimization for Robot Manipulators.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation.
Proceedings of the International Conference on Robotics and Automation, 2019

VPE: Variational Policy Embedding for Transfer Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Data-Driven Model Predictive Control for the Contact-Rich Task of Food Cutting.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

2018
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
A Framework for Optimal Grasp Contact Planning.
IEEE Robotics Autom. Lett., 2017

Non-parametric spatial context structure learning for autonomous understanding of human environments.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Affordance detection for task-specific grasping using deep learning.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016
Representation and Learning for Robotic Grasping, Caging, and Planning.
PhD thesis, 2016

Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation.
IEEE Trans. Robotics, 2016

Rope through Loop Insertion for Robotic Knotting: A Virtual Magnetic Field Formulation.
CoRR, 2016

Probabilistic consolidation of grasp experience.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Learning Predictive State Representations for planning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning Predictive State Representation for in-hand manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Hierarchical Fingertip Space for multi-fingered precision grasping.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Combinatorial optimization for hierarchical contact-level grasping.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Cooperative grasping through topological object representation.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Integrated motion and clasp planning with virtual linking.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Grasping objects with holes: A topological approach.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Audio-based human activity recognition using Non-Markovian Ensemble Voting.
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

2010
People tracking with human motion predictions from social forces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010


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