Verbal Assistance in Tactile-Map Explorations: A Case for Visual Representations and Reasoning. - Christopher Habel; Matthias Kerzel; Kris Lohmann (Visual Representations and Reasoning, 2010)

Ereigniserkennung während der Exploration audio-taktiler Karten. - Matthias Kerzel; Christopher Habel (MuC, 2012)

Event Recognition during the Exploration of Line-Based Graphics in Virtual Haptic Environments. - Matthias Kerzel; Christopher Habel (COSIT, 2013)

Event Recognition during Exploration of Line-Based Graphics in Virtual Haptic Environments. - Matthias Kerzel (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Ereigniserkennung während der Exploration linien-basierter Graphiken in virtuellen haptischen Umgebungen. - Matthias Kerzel (2015)

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. - Manfred Eppe; Matthias Kerzel; Sascha S. Griffiths; Hwei Geok Ng; Stefan Wermter (Humanoids, 2017)

Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. - Matthias Kerzel; Stefan Wermter (ICANN (1), 2017)

A computational model of crossmodal processing for conflict resolution. - German Ignacio Parisi; Pablo V. A. Barros; Matthias Kerzel; Haiyan Wu; Guochun Yang; Zhenghan Li; Xun Liu 001; Stefan Wermter (ICDL-EPIROB, 2017)

Teaching emotion expressions to a human companion robot using deep neural architectures. - Nikhil Churamani; Matthias Kerzel; Erik Strahl; Pablo V. A. Barros; Stefan Wermter (IJCNN, 2017)

Haptic material classification with a multi-channel neural network. - Matthias Kerzel; Moaaz Ali; Hwei Geok Ng; Stefan Wermter (IJCNN, 2017)

NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. - Matthias Kerzel; Erik Strahl; Sven Magg; Nicolás Navarro-Guerrero; Stefan Heinrich; Stefan Wermter (RO-MAN, 2017)

Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. - Muhammad Burhan Hafez; Matthias Kerzel; Cornelius Weber; Stefan Wermter (ESANN, 2018)

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. - Henrique Siqueira; Alexander Sutherland; Pablo V. A. Barros; Matthias Kerzel; Sven Magg; Stefan Wermter (Humanoids, 2018)

Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network. - Hwei Geok Ng; Matthias Kerzel; Jan Mehnert; Arne May; Stefan Wermter (ICANN (3), 2018)

Accelerating Deep Continuous Reinforcement Learning through Task Simplification. - Matthias Kerzel; Hadi Beik-Mohammadi; Mohammad-Ali Zamani; Stefan Wermter (IJCNN, 2018)

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. - Manfred Eppe; Matthias Kerzel; Erik Strahl; Stefan Wermter (IROS, 2018)

Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data. - Josip Josifovski; Matthias Kerzel; Christoph Pregizer; Lukas Posniak; Stefan Wermter (IROS, 2018)

Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. - Erik Strahl; Matthias Kerzel; Manfred Eppe; Sascha S. Griffiths; Stefan Wermter (IROS, 2018)

Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. - Hadi Beik-Mohammadi; Mohammad-Ali Zamani; Matthias Kerzel; Stefan Wermter (ICANN (1), 2019)

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (ICDL-EPIROB, 2019)

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. - Matthias Kerzel; Manfred Eppe; Stefan Heinrich; Fares Abawi; Stefan Wermter (ICDL-EPIROB, 2019)

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (IJCNN, 2019)

Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. - Matthias Kerzel; Erik Strahl; Connor Gaede; Emil Gasanov; Stefan Wermter (IJCNN, 2019)

Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network. - Pablo V. A. Barros; Erik Fließwasser; Matthias Kerzel; Stefan Wermter (IROS, 2019)

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. - Di Fu; Cornelius Weber; Guochun Yang; Matthias Kerzel; Weizhi Nan; Pablo V. A. Barros; Haiyan Wu; Xun Liu 001; Stefan Wermter (CoRR, 2019)

Continuous convolutional object tracking in developmental robot scenarios. - Stefan Heinrich; Peer Springstübe; Tobias Knöppler; Matthias Kerzel; Stefan Wermter (Neurocomputing, 2019)

Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (Paladyn J. Behav. Robotics, 2019)

Improving Emotional Expression Recognition of Robots Using Regions of Interest from Human Data. - Anne C. Bloem; Emilia I. Barakova; Inge M. Hootsmans; Lena M. Opheij; Romain H. A. Toebosch; Matthias Kerzel; Pablo V. A. Barros (HRI (Companion), 2020)

Neuro-Genetic Visuomotor Architecture for Robotic Grasping. - Matthias Kerzel; Josua Spisak; Erik Strahl; Stefan Wermter (ICANN (2), 2020)

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. - Hadi Beik-Mohammadi; Matthias Kerzel; Benedikt Pleintinger; Thomas Hulin; Philipp Reisich; Annika Schmidt; Aaron Pereira; Stefan Wermter; Neal Y. Lii (RO-MAN, 2020)

Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. - Fatai Sado; Chu Kiong Loo; Matthias Kerzel; Stefan Wermter (CoRR, 2020)

Hierarchical principles of embodied reinforcement learning: A review. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (CoRR, 2020)

Crossmodal Language Grounding in an Embodied Neurocognitive Model. - Stefan Heinrich; Yuan Yao 011; Tobias Hinz; Zhiyuan Liu 001; Thomas Hummel 001; Matthias Kerzel; Cornelius Weber; Stefan Wermter (Frontiers Neurorobotics, 2020)

Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans. - Matthias Kerzel; Theresa Pekarek-Rosin; Erik Strahl; Stefan Heinrich; Stefan Wermter (Frontiers Neurorobotics, 2020)

Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study. - Focko L. Higgen; Philipp Ruppel; Michael Görner; Matthias Kerzel; Norman Hendrich; Jan-Frederik Feldheim; Stefan Wermter; Jianwei Zhang 001; Christian Gerloff (Frontiers Robotics AI, 2020)

Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. - Muhammad Burhan Hafez; Cornelius Weber; Matthias Kerzel; Stefan Wermter (Robotics Auton. Syst., 2020)

Pruning Neural Networks with Supermasks. - Vincent Rolfs; Matthias Kerzel; Stefan Wermter (ESANN, 2021)

A Humanoid Robot Learning Audiovisual Classification By Active Exploration. - Glareh Mir; Matthias Kerzel; Erik Strahl; Stefan Wermter (ICDL, 2021)

Embodied Language Learning with Paired Variational Autoencoders. - Ozan Özdemir; Matthias Kerzel; Stefan Wermter (ICDL, 2021)

Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Mengdi Li; Cornelius Weber; Matthias Kerzel; Jae Hee Lee 001; Zheni Zeng; Zhiyuan Liu 001; Stefan Wermter (IROS, 2021)

Continual Learning from Synthetic Data for a Humanoid Exercise Robot. - Nicolas Duczek; Matthias Kerzel; Stefan Wermter (CoRR, 2021)

Exercise with Social Robots: Companion or Coach? - Sascha S. Griffiths; Tayfun Alpay; Alexander Sutherland; Matthias Kerzel; Manfred Eppe; Erik Strahl; Stefan Wermter (CoRR, 2021)

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. - Di Fu; Fares Abawi; Hugo C. C. Carneiro; Matthias Kerzel; Ziwei Chen; Erik Strahl; Xun Liu 001; Stefan Wermter (CoRR, 2021)

Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot. - Aleksej Logacjov; Matthias Kerzel; Stefan Wermter (Frontiers Neurorobotics, 2021)

Solving visual object ambiguities when pointing: an unsupervised learning approach. - Doreen Jirak; David Biertimpel; Matthias Kerzel; Stefan Wermter (Neural Comput. Appl., 2021)

Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. - Nima Rahrakhshan; Matthias Kerzel; Philipp Allgeuer; Nicolas Duczek; Stefan Wermter (Humanoids, 2022)

Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. - Connor Gaede; Matthias Kerzel; Erik Strahl; Stefan Wermter (ICANN (1), 2022)

Learning Flexible Translation Between Robot Actions and Language Descriptions. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (ICANN (2), 2022)

Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. - Xiaowen Sun; Cornelius Weber; Matthias Kerzel; Tom Weber; Mengdi Li; Stefan Wermter (ICANN (2), 2022)

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. - Jae Hee Lee 001; Matthias Kerzel; Kyra Ahrens; Cornelius Weber; Stefan Wermter (IJCAI, 2022)

Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. - Kyra Ahrens; Matthias Kerzel; Jae Hee Lee 001; Cornelius Weber; Stefan Wermter (STRL@IJCAI, 2022)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (CoRR, 2022)

Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot. - Nicolas Duczek; Matthias Kerzel; Philipp Allgeuer; Stefan Wermter (Frontiers Robotics AI, 2022)

What's on Your Mind, NICO? - Matthias Kerzel; Jakob Ambsdorf; Dennis Becker; Wenhao Lu; Erik Strahl; Josua Spisak; Connor Gaede; Tom Weber; Stefan Wermter (Künstliche Intell., 2022)

Intelligent problem-solving as integrated hierarchical reinforcement learning. - Manfred Eppe; Christian Gumbsch; Matthias Kerzel; Phuong D. H. Nguyen; Martin V. Butz; Stefan Wermter (Nat. Mach. Intell., 2022)

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. - Matthias Kerzel; Fares Abawi; Manfred Eppe; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2022)

Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks. - Matthias Kerzel; Julia Markert; Emad Aghajanzadeh; Stephanie von Riegen; Lothar Hotz; Pascal Krenz (ECAI, 2023)

CycleIK: Neuro-inspired Inverse Kinematics. - Jan-Gerrit Habekost; Erik Strahl; Philipp Allgeuer; Matthias Kerzel; Stefan Wermter (ICANN (1), 2023)

Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. - Josua Spisak; Matthias Kerzel; Stefan Wermter (ICANN (1), 2023)

The Importance of Growing Up: Progressive Growing GANs for Image Inpainting. - Daniel Speck; Theresa Pekarek-Rosin; Matthias Kerzel; Stefan Wermter (ICDL, 2023)

Processing Product, Production and Producer Information for Operations Planning and Scheduling Using CLIP for Multimodal Image and Text Data. - Julia Markert; Matthias Kerzel; Michael Variola; Dominik Saubke; Stephanie von Riegen; Emad Aghajanzadeh; Lothar Hotz; Pascal Krenz (IEEM, 2023)

Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIP. - Julia Markert; Matthias Kerzel; Michael Variola; Dominik Saubke; Stephanie von Riegen; Lothar Hotz; Pascal Krenz (APMS (3), 2023)

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. - Matthias Kerzel; Philipp Allgeuer; Erik Strahl; Nicolas Frick; Jan-Gerrit Habekost; Manfred Eppe; Stefan Wermter (IEEE Access, 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (CoRR, 2023)

Explainable Goal-driven Agents and Robots - A Comprehensive Review. - Fatai Sado; Chu Kiong Loo; Wei Shiung Liew; Matthias Kerzel; Stefan Wermter (ACM Comput. Surv., 2023)

Neuro-Symbolic Spatio-Temporal Reasoning. - Jae Hee Lee 001; Michael Sioutis; Kyra Ahrens; Marjan Alirezaie; Matthias Kerzel; Stefan Wermter (Compendium of Neurosymbolic Artificial Intelligence, 2023)

A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution. - Di Fu; Fares Abawi; Hugo C. C. Carneiro; Matthias Kerzel; Ziwei Chen; Erik Strahl; Xun Liu 001; Stefan Wermter (Int. J. Soc. Robotics, 2023)

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Muhammad Burhan Hafez; Patrick Bruns; Stefan Wermter (Appl. Artif. Intell., 2023)

Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. - Ozan Özdemir; Matthias Kerzel; Cornelius Weber; Jae Hee Lee 001; Stefan Wermter (IEEE Trans. Cogn. Dev. Syst., 2023)

Diffusing in Someone Else's Shoes: Robotic Perspective-Taking with Diffusion. - Josua Spisak; Matthias Kerzel; Stefan Wermter (Humanoids, 2024)

Learning Low-Level Causal Relations Using a Simulated Robotic Arm. - Miroslav Cibula; Matthias Kerzel; Igor Farkas (ICANN (10), 2024)

Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. - Xiaowen Sun; Xufeng Zhao 002; Jae Hee Lee 001; Wenhao Lu; Matthias Kerzel; Stefan Wermter (ICANN (4), 2024)

Robotic Imitation of Human Actions. - Josua Spisak; Matthias Kerzel; Stefan Wermter (ICDL, 2024)

Planning and Optimising Value Chains in Production Networks of MSEs: A Lightweight Planner For Parallel Processes. - Emad Aghajanzadeh; Julia Christina Markert; Matthias Kerzel; Stephanie von Riegen; Pascal Krenz; Lothar Hotz; Jens Peter Wulfsberg (APMS (3), 2024)

Workshop Proposal: Dungeons, Neurons, and Dialogues 2 Edition: Social Interaction Dynamics in Contextual Games (DnD-SIDC). - Pablo V. A. Barros; Laura Triglia; Nikhil Churamani; Matthias Kerzel (HRI, 2025)

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model. - Josua Spisak; Matthias Kerzel; Stefan Wermter (CoRR, 2025)

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. - Lukás Gajdosech; Hassan Ali 005; Jan-Gerrit Habekost; Martin Madaras; Matthias Kerzel; Stefan Wermter (CoRR, 2025)

Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN. - Miroslav Cibula; Kristína Malinovská; Matthias Kerzel (CoRR, 2025)