Matthias Kerzel

Orcid: 0000-0002-1378-0435

According to our database1, Matthias Kerzel authored at least 74 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Planning and Optimising Value Chains in Production Networks of MSEs: A Lightweight Planner For Parallel Processes.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024

Robotic Imitation of Human Actions.
Proceedings of the IEEE International Conference on Development and Learning, 2024

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Learning Low-Level Causal Relations Using a Simulated Robotic Arm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Diffusing in Someone Else's Shoes: Robotic Perspective-Taking with Diffusion.
Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning.
IEEE Trans. Cogn. Dev. Syst., December, 2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input.
Appl. Artif. Intell., December, 2023

A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution.
Int. J. Soc. Robotics, August, 2023

Neuro-Symbolic Spatio-Temporal Reasoning.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Explainable Goal-driven Agents and Robots - A Comprehensive Review.
ACM Comput. Surv., 2023

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input.
CoRR, 2023

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation.
IEEE Access, 2023

Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIP.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023

Processing Product, Production and Producer Information for Operations Planning and Scheduling Using CLIP for Multimodal Image and Text Data.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

The Importance of Growing Up: Progressive Growing GANs for Image Inpainting.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

CycleIK: Neuro-inspired Inverse Kinematics.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks.
IEEE Trans. Cogn. Dev. Syst., 2022

Intelligent problem-solving as integrated hierarchical reinforcement learning.
Nat. Mach. Intell., 2022

What's on Your Mind, NICO?
Künstliche Intell., 2022

Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot.
Frontiers Robotics AI, 2022

Neuro-Symbolic Spatio-Temporal Reasoning.
CoRR, 2022

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning.
Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning Flexible Translation Between Robot Actions and Language Descriptions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021
Solving visual object ambiguities when pointing: an unsupervised learning approach.
Neural Comput. Appl., 2021

Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot.
Frontiers Neurorobotics, 2021

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution.
CoRR, 2021

Exercise with Social Robots: Companion or Coach?
CoRR, 2021

Continual Learning from Synthetic Data for a Humanoid Exercise Robot.
CoRR, 2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Embodied Language Learning with Paired Variational Autoencoders.
Proceedings of the IEEE International Conference on Development and Learning, 2021

A Humanoid Robot Learning Audiovisual Classification By Active Exploration.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Pruning Neural Networks with Supermasks.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination.
Robotics Auton. Syst., 2020

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study.
Frontiers Robotics AI, 2020

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans.
Frontiers Neurorobotics, 2020

Crossmodal Language Grounding in an Embodied Neurocognitive Model.
Frontiers Neurorobotics, 2020

Hierarchical principles of embodied reinforcement learning: A review.
CoRR, 2020

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework.
CoRR, 2020

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Neuro-Genetic Visuomotor Architecture for Robotic Grasping.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Improving Emotional Expression Recognition of Robots Using Regions of Interest from Human Data.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning.
Paladyn J. Behav. Robotics, 2019

Continuous convolutional object tracking in developmental robot scenarios.
Neurocomputing, 2019

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective.
CoRR, 2019

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset.
Proceedings of the International Joint Conference on Neural Networks, 2019

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Accelerating Deep Continuous Reinforcement Learning through Task Simplification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Haptic material classification with a multi-channel neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Teaching emotion expressions to a human companion robot using deep neural architectures.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A computational model of crossmodal processing for conflict resolution.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2015
Ereigniserkennung während der Exploration linien-basierter Graphiken in virtuellen haptischen Umgebungen.
PhD thesis, 2015

2014
Event Recognition during Exploration of Line-Based Graphics in Virtual Haptic Environments.
Proceedings of the 8th Joint Workshop of the German Research Training Groups in Computer Science, 2014

2013
Event Recognition during the Exploration of Line-Based Graphics in Virtual Haptic Environments.
Proceedings of the Spatial Information Theory - 11th International Conference, 2013

2012
Ereigniserkennung während der Exploration audio-taktiler Karten.
Proceedings of the Mensch & Computer 2012: interaktiv informiert, 2012

2010
Verbal Assistance in Tactile-Map Explorations: A Case for Visual Representations and Reasoning.
Proceedings of the Visual Representations and Reasoning, 2010


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