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2020 – today
- 2024
[c46]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. ICANN (4) 2024: 261-275- [c45]Miroslav Cibula, Matthias Kerzel, Igor Farkas
:
Learning Low-Level Causal Relations Using a Simulated Robotic Arm. ICANN (10) 2024: 285-298 - [c44]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Robotic Imitation of Human Actions. ICDL 2024: 1-6 - [c43]Emad Aghajanzadeh, Julia Christina Markert, Matthias Kerzel, Stephanie von Riegen, Pascal Krenz, Lothar Hotz, Jens Peter Wulfsberg:
Planning and Optimising Value Chains in Production Networks of MSEs: A Lightweight Planner For Parallel Processes. APMS (3) 2024: 379-393 - [i32]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Robotic Imitation of Human Actions. CoRR abs/2401.08381 (2024) - [i31]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion. CoRR abs/2404.07735 (2024) - [i30]Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. CoRR abs/2406.09988 (2024) - [i29]Miroslav Cibula, Matthias Kerzel, Igor Farkas:
Learning Low-Level Causal Relations using a Simulated Robotic Arm. CoRR abs/2410.07751 (2024) - 2023
- [j17]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input. Appl. Artif. Intell. 37(1) (2023) - [j16]Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter:
NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation. IEEE Access 11: 123531-123542 (2023) - [j15]Fatai Sado, Chu Kiong Loo, Wei Shiung Liew, Matthias Kerzel, Stefan Wermter:
Explainable Goal-driven Agents and Robots - A Comprehensive Review. ACM Comput. Surv. 55(10): 211:1-211:41 (2023) - [j14]Di Fu, Fares Abawi, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu, Stefan Wermter:
A Trained Humanoid Robot can Perform Human-Like Crossmodal Social Attention and Conflict Resolution. Int. J. Soc. Robotics 15(8): 1325-1340 (2023) - [j13]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning. IEEE Trans. Cogn. Dev. Syst. 15(4): 1812-1824 (2023) - [c42]Matthias Kerzel, Julia Markert, Emad Aghajanzadeh, Stephanie von Riegen, Lothar Hotz, Pascal Krenz:
Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks. ECAI 2023: 3204-3211 - [c41]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. ICANN (1) 2023: 444-456 - [c40]Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter:
CycleIK: Neuro-inspired Inverse Kinematics. ICANN (1) 2023: 457-470 - [c39]Daniel Speck, Theresa Pekarek-Rosin, Matthias Kerzel, Stefan Wermter:
The Importance of Growing Up: Progressive Growing GANs for Image Inpainting. ICDL 2023: 294-299 - [c38]Julia Markert, Matthias Kerzel, Michael Variola, Dominik Saubke, Stephanie von Riegen, Emad Aghajanzadeh, Lothar Hotz, Pascal Krenz:
Processing Product, Production and Producer Information for Operations Planning and Scheduling Using CLIP for Multimodal Image and Text Data. IEEM 2023: 173-177 - [c37]Julia Markert, Matthias Kerzel, Michael Variola, Dominik Saubke, Stephanie von Riegen, Lothar Hotz, Pascal Krenz:
Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIP. APMS (3) 2023: 520-534 - [p1]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. Compendium of Neurosymbolic Artificial Intelligence 2023: 410-429 - [i28]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Muhammad Burhan Hafez, Patrick Bruns, Stefan Wermter:
Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input. CoRR abs/2301.03353 (2023) - [i27]Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter:
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation. CoRR abs/2305.08528 (2023) - [i26]Josua Spisak, Matthias Kerzel, Stefan Wermter:
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification. CoRR abs/2307.08471 (2023) - [i25]Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter:
CycleIK: Neuro-inspired Inverse Kinematics. CoRR abs/2307.11554 (2023) - 2022
- [j12]Nicolas Duczek, Matthias Kerzel, Philipp Allgeuer, Stefan Wermter:
Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot. Frontiers Robotics AI 9 (2022) - [j11]Matthias Kerzel, Jakob Ambsdorf, Dennis Becker, Wenhao Lu, Erik Strahl, Josua Spisak, Connor Gaede, Tom Weber, Stefan Wermter:
What's on Your Mind, NICO? Künstliche Intell. 36(3): 237-254 (2022) - [j10]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. Nat. Mach. Intell. 4(1): 11-20 (2022) - [j9]Matthias Kerzel, Fares Abawi, Manfred Eppe, Stefan Wermter:
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. IEEE Trans. Cogn. Dev. Syst. 14(4): 1331-1343 (2022) - [c36]Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer, Nicolas Duczek, Stefan Wermter:
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. Humanoids 2022: 217-222 - [c35]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Learning Flexible Translation Between Robot Actions and Language Descriptions. ICANN (2) 2022: 246-257 - [c34]Xiaowen Sun, Cornelius Weber, Matthias Kerzel, Tom Weber, Mengdi Li, Stefan Wermter:
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture. ICANN (2) 2022: 258-269 - [c33]Connor Gaede, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. ICANN (1) 2022: 342-354 - [c32]Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. IJCAI 2022: 1039-1045 - [c31]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier What Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-task Learning. STRL@IJCAI 2022 - [i24]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Language Model-Based Paired Variational Autoencoders for Robotic Language Learning. CoRR abs/2201.06317 (2022) - [i23]Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter:
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2205.02671 (2022) - [i22]Kyra Ahrens, Matthias Kerzel, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning. CoRR abs/2207.02624 (2022) - [i21]Ozan Özdemir, Matthias Kerzel, Cornelius Weber, Jae Hee Lee, Stefan Wermter:
Learning Flexible Translation between Robot Actions and Language Descriptions. CoRR abs/2207.07437 (2022) - [i20]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. CoRR abs/2208.08731 (2022) - [i19]Nima Rahrakhshan, Matthias Kerzel, Philipp Allgeuer, Nicolas Duczek, Stefan Wermter:
Learning to Autonomously Reach Objects with NICO and Grow-When-Required Networks. CoRR abs/2210.07851 (2022) - [i18]Jae Hee Lee, Michael Sioutis, Kyra Ahrens, Marjan Alirezaie, Matthias Kerzel, Stefan Wermter:
Neuro-Symbolic Spatio-Temporal Reasoning. CoRR abs/2211.15566 (2022) - 2021
- [j8]Aleksej Logacjov, Matthias Kerzel, Stefan Wermter:
Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid Robot. Frontiers Neurorobotics 15: 669534 (2021) - [j7]Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter:
Solving visual object ambiguities when pointing: an unsupervised learning approach. Neural Comput. Appl. 33(7): 2297-2319 (2021) - [c30]Vincent Rolfs, Matthias Kerzel, Stefan Wermter:
Pruning Neural Networks with Supermasks. ESANN 2021 - [c29]Glareh Mir, Matthias Kerzel, Erik Strahl, Stefan Wermter:
A Humanoid Robot Learning Audiovisual Classification By Active Exploration. ICDL 2021: 1-6 - [c28]Ozan Özdemir, Matthias Kerzel, Stefan Wermter:
Embodied Language Learning with Paired Variational Autoencoders. ICDL 2021: 1-6 - [c27]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. IROS 2021: 2686-2692 - [i17]Nicolas Duczek, Matthias Kerzel, Stefan Wermter:
Continual Learning from Synthetic Data for a Humanoid Exercise Robot. CoRR abs/2102.10034 (2021) - [i16]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros, Matthias Kerzel, Sven Magg, Stefan Wermter:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. CoRR abs/2103.03940 (2021) - [i15]Sascha S. Griffiths, Tayfun Alpay, Alexander Sutherland, Matthias Kerzel, Manfred Eppe, Erik Strahl, Stefan Wermter:
Exercise with Social Robots: Companion or Coach? CoRR abs/2103.12940 (2021) - [i14]Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. CoRR abs/2107.00359 (2021) - [i13]Mengdi Li, Cornelius Weber, Matthias Kerzel, Jae Hee Lee, Zheni Zeng, Zhiyuan Liu, Stefan Wermter:
Robotic Occlusion Reasoning for Efficient Object Existence Prediction. CoRR abs/2107.12095 (2021) - [i12]Di Fu, Fares Abawi, Hugo C. C. Carneiro, Matthias Kerzel, Ziwei Chen, Erik Strahl, Xun Liu, Stefan Wermter:
A trained humanoid robot can perform human-like crossmodal social attention conflict resolution. CoRR abs/2111.01906 (2021) - 2020
- [j6]Matthias Kerzel, Theresa Pekarek-Rosin, Erik Strahl, Stefan Heinrich, Stefan Wermter:
Teaching NICO How to Grasp: An Empirical Study on Crossmodal Social Interaction as a Key Factor for Robots Learning From Humans. Frontiers Neurorobotics 14: 28 (2020) - [j5]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics 14: 52 (2020) - [j4]Focko L. Higgen, Philipp Ruppel, Michael Görner, Matthias Kerzel, Norman Hendrich, Jan-Frederik Feldheim, Stefan Wermter, Jianwei Zhang, Christian Gerloff:
Crossmodal Pattern Discrimination in Humans and Robots: A Visuo-Tactile Case Study. Frontiers Robotics AI 7: 540565 (2020) - [j3]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination. Robotics Auton. Syst. 133: 103630 (2020) - [c26]Anne C. Bloem, Emilia I. Barakova, Inge M. Hootsmans, Lena M. Opheij, Romain H. A. Toebosch, Matthias Kerzel, Pablo V. A. Barros:
Improving Emotional Expression Recognition of Robots Using Regions of Interest from Human Data. HRI (Companion) 2020: 142-144 - [c25]Matthias Kerzel, Josua Spisak, Erik Strahl, Stefan Wermter:
Neuro-Genetic Visuomotor Architecture for Robotic Grasping. ICANN (2) 2020: 533-545 - [c24]Hadi Beik-Mohammadi, Matthias Kerzel, Benedikt Pleintinger, Thomas Hulin, Philipp Reisich, Annika Schmidt, Aaron Pereira, Stefan Wermter, Neal Y. Lii:
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning. RO-MAN 2020: 713-720 - [i11]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination. CoRR abs/2004.08830 (2020) - [i10]Fatai Sado, Chu Kiong Loo, Matthias Kerzel, Stefan Wermter:
Explainable Goal-Driven Agents and Robots - A Comprehensive Review and New Framework. CoRR abs/2004.09705 (2020) - [i9]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. CoRR abs/2006.13546 (2020) - [i8]Matthias Kerzel, Fares Abawi, Manfred Eppe, Stefan Wermter:
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. CoRR abs/2009.12674 (2020) - [i7]Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Hierarchical principles of embodied reinforcement learning: A review. CoRR abs/2012.10147 (2020)
2010 – 2019
- 2019
- [j2]Stefan Heinrich, Peer Springstübe, Tobias Knöppler, Matthias Kerzel, Stefan Wermter:
Continuous convolutional object tracking in developmental robot scenarios. Neurocomputing 342: 137-144 (2019) - [j1]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. Paladyn J. Behav. Robotics 10(1): 14-29 (2019) - [c23]Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Matthias Kerzel, Stefan Wermter:
Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. ICANN (1) 2019: 611-623 - [c22]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. ICDL-EPIROB 2019: 1-7 - [c21]Matthias Kerzel, Manfred Eppe, Stefan Heinrich, Fares Abawi, Stefan Wermter:
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. ICDL-EPIROB 2019: 19-24 - [c20]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. IJCNN 2019: 1-8 - [c19]Matthias Kerzel, Erik Strahl, Connor Gaede, Emil Gasanov, Stefan Wermter:
Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. IJCNN 2019: 1-8 - [c18]Pablo V. A. Barros, Erik Fließwasser, Matthias Kerzel, Stefan Wermter:
Exploring Low-level and High-level Transfer Learning for Multi-task Facial Recognition with a Semi-supervised Neural Network. IROS 2019: 1378-1384 - [i6]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning. CoRR abs/1905.01718 (2019) - [i5]Di Fu, Cornelius Weber, Guochun Yang, Matthias Kerzel, Weizhi Nan, Pablo V. A. Barros, Haiyan Wu, Xun Liu, Stefan Wermter:
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective. CoRR abs/1909.05654 (2019) - [i4]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. CoRR abs/1910.04729 (2019) - [i3]Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter:
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach. CoRR abs/1912.06449 (2019) - 2018
- [c17]Muhammad Burhan Hafez, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic. ESANN 2018 - [c16]Henrique Siqueira, Alexander Sutherland, Pablo V. A. Barros, Matthias Kerzel, Sven Magg, Stefan Wermter:
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. Humanoids 2018: 1-9 - [c15]Hwei Geok Ng, Matthias Kerzel, Jan Mehnert, Arne May, Stefan Wermter:
Classification of MRI Migraine Medical Data Using 3D Convolutional Neural Network. ICANN (3) 2018: 300-309 - [c14]Matthias Kerzel, Hadi Beik-Mohammadi, Mohammad-Ali Zamani, Stefan Wermter:
Accelerating Deep Continuous Reinforcement Learning through Task Simplification. IJCNN 2018: 1-6 - [c13]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. IROS 2018: 284-289 - [c12]Erik Strahl, Matthias Kerzel, Manfred Eppe, Sascha S. Griffiths, Stefan Wermter:
Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. IROS 2018: 5041 - [c11]Josip Josifovski, Matthias Kerzel, Christoph Pregizer, Lukas Posniak, Stefan Wermter:
Object Detection and Pose Estimation Based on Convolutional Neural Networks Trained with Synthetic Data. IROS 2018: 6269-6276 - [i2]Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. CoRR abs/1807.01035 (2018) - [i1]Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel, Stefan Wermter:
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. CoRR abs/1810.11388 (2018) - 2017
- [c10]Manfred Eppe, Matthias Kerzel, Sascha S. Griffiths, Hwei Geok Ng, Stefan Wermter:
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. Humanoids 2017: 612-617 - [c9]Matthias Kerzel, Stefan Wermter:
Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. ICANN (1) 2017: 27-34 - [c8]German Ignacio Parisi, Pablo V. A. Barros, Matthias Kerzel, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter:
A computational model of crossmodal processing for conflict resolution. ICDL-EPIROB 2017: 33-38 - [c7]Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter:
Haptic material classification with a multi-channel neural network. IJCNN 2017: 439-446 - [c6]Nikhil Churamani, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros, Stefan Wermter:
Teaching emotion expressions to a human companion robot using deep neural architectures. IJCNN 2017: 627-234 - [c5]Matthias Kerzel, Erik Strahl, Sven Magg, Nicolás Navarro-Guerrero, Stefan Heinrich, Stefan Wermter:
NICO - Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. RO-MAN 2017: 113-120 - 2015
- [b1]Matthias Kerzel:
Ereigniserkennung während der Exploration linien-basierter Graphiken in virtuellen haptischen Umgebungen. University of Hamburg, 2015 - 2014
- [c4]Matthias Kerzel:
Event Recognition during Exploration of Line-Based Graphics in Virtual Haptic Environments. Joint Workshop of the German Research Training Groups in Computer Science 2014: 25 - 2013
- [c3]Matthias Kerzel, Christopher Habel:
Event Recognition during the Exploration of Line-Based Graphics in Virtual Haptic Environments. COSIT 2013: 109-128 - 2012
- [c2]Matthias Kerzel, Christopher Habel:
Ereigniserkennung während der Exploration audio-taktiler Karten. MuC 2012: 365-368 - 2010
- [c1]Christopher Habel, Matthias Kerzel, Kris Lohmann:
Verbal Assistance in Tactile-Map Explorations: A Case for Visual Representations and Reasoning. Visual Representations and Reasoning 2010
Coauthor Index
[c46] [c44] [i32] [i31] [i30] [j17] [j16] [j15] [j14] [j13] [c41] [c40] [c39] [p1] [i28] [i27] [i26] [i25] [j12] [j11] [j10] [j9] [c36] [c35] [c34] [c33] [c32] [c31] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j8] [j7] [c30] [c29] [c28] [c27] [i17] [i16] [i15] [i14] [i13] [i12] [j6] [j5] [j4] [j3] [c25] [c24] [i11] [i10] [i9] [i8] [i7] [j2] [j1] [c23] [c22] [c21] [c20] [c19] [c18] [i6] [i5] [i4] [i3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i2] [i1] [c10] [c9] [c8] [c7] [c6] [c5]
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