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Publications: Area Z and Joint Publications

This section lists publications by the CML consortium from the integration activities and publications that are not related to one specific research subproject.

  • Chen, J., Zhang, D., Engel, A. K., Gong, Q., & Maye, A. (2017). Application of a single-flicker online SSVEP BCI for spatial navigation. PloS one, 12(5), e0178385. DOI: https://doi.org/10.1371/journal.pone.0178385
  • Zheng, W., Liu, Y., Liu, C. H., Chen, Y. H., Cui, Q., & Fu, X. (2019). The Influence of Event Valence and Emotional States on the Metaphorical Comprehension of Time. Frontiers in psychology, 10, 410.
  • Ni, L., Liu, Y., & Yu, W. (2019). The dominant role of functional action representation in object recognition. Experimental brain research, 237(2), 363-375.
  • 吴迪, 顾晶金, 李明, 张淼, 张明, 赵科, & 傅小兰. (2019). 动作的主动控制感与因果关系的主动控制感: 主动动作时间压缩效应的产生机制. 心理科学进展, 27(5), 804-810.
  • 於文苑, 刘烨*, 傅小兰, 龚江涛, 徐迎庆*. (2019). 触觉二维图像识别的认知机制.心理科学进展,27(04):611-622.
  • Liang, J., Chen, Y. H., Yan, W. J., Qu, F., & Fu, X. (2018). Effects of task-irrelevant emotional information on deception. Cognition and Emotion, 32(6), 1265-1274.
  • Zhang, Z., Chen, T., Meng, H., Liu, G., & Fu, X. (2018). SMEConvnet: A convolutional neural network for spotting spontaneous facial micro-expression from long videos. IEEE Access, 6, 71143-71151.
  • Cui, Q., Zhao, K., Chen, Y. H., Zheng, W., & Fu, X. (2018). Opposing subjective temporal experiences in response to unpredictable and predictable fear-relevant stimuli. Frontiers in psychology, 9, 360.
  • Gong, M., Xuan, Y., Smart, L. J., & Olzak, L. A. (2018). The extraction of natural scene gist in visual crowding. Scientific reports, 8(1), 14073
  • Zheng, W., Liu, Y., & Fu, X. (2018). The Temporal-Spatial Metaphorical Expression Difference in Spatial Schema Design. In International Conference on Human-Computer Interaction, 225-234. Springer, Cham.
  • Yu, W., Liu, Y., & Fu, X. (2018, July). The Effect of Static and Dynamic Gesture Presentation on the Recognition of Two Manipulation Gestures. In International Conference on Human-Computer Interaction,. 366-379. Springer, Cham.
  • 郑玮琦, 刘烨, & 傅小兰. (2018). 感觉鄄运动系统参与隐喻理解的认知神经机制. 生物化学与生物物理进展, 45(3), 325-335.
  • 於文苑, 刘烨, & 傅小兰. (2018). 可操作物体识别过程中的两种操作动作表征. 心理科学进展, 26(2), 229-240.
  • 崔倩, 赵科, & 傅小兰. (2018). 情绪调节时间知觉的作用方式及认知神经机制. 生物化学与生物物理进展, 45(4), 409-421.
  • 龚江涛, 於文苑, 曲同, 刘烨, 傅小兰, & 徐迎庆. (2018). 影响触觉图像识别因素的量化分析. 计算机辅助设计与图形学学报, (08), 1438-1445.
  • Peng, M., Wang, C., Chen, T., Liu, G., & Fu, X. (2017). Dual temporal scale convolutional neural network for micro-expression recognition. Frontiers in psychology, 8, 1745.
  • Qu, F., Yan, W. J., Chen, Y. H., Li, K., Zhang, H., & Fu, X. (2017). “You Should Have Seen the Look on Your Face…”: Self-awareness of Facial Expressions. Frontiers in psychology, 8, 832.

Project Z3: Integration

Publications of the current funding period (2020-2024)

  • Ali H, Allgeuer P, Wermter S (2024). Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task, International Conference on Social Robotics (ICSR). no DOI available yet
  • Ali H, Allgeuer P, et al. (2024). Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation, International Conference on Humanoid Robotics (Humanoids) (in press). no DOI available yet
  • Allgeuer P, Ali H, Wermter S (2024). When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration, Int. Conf. on Artificial Neural Networks. https://doi.org/10.1007/978-3-031-72341-4_21
  • Fu D, Abawi F, Allgeuer P, Wermter S (2024). Human Impression of Humanoid Robots Mirroring Social Cues, Int. Conf. on Human-Robot Interaction (HRI’24). https://doi.org/10.1145/3610978.3640580
  • Gäde C, Özdemir O, Weber C, Wertmer S (2024). Embodying Language Models in Robot Action, 32nd European Symposium on Artificial Neural Networks (ESANN). no DOI available yet
  • Gäde C, Habekost JG, Wermter S (2024). Domain Adaptation as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control, International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN60899.2024.10650722
  • Habekost JG, Gäde C, Allgeuer P, Wermter S (2024). Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents, Int. Conf. on Intelligent Robots and Systems (IROS). no DOI available yet
  • Jonetzko Y, Naß TAA, Fiedler N, Zhang J (2024). State Estimation of an Adaptive 3-Finger Gripper using Recurrent Neural Networks,, International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi. no DOI assigned yet
  • Ruppel P, Zhang J (2024). Elastic Tactile Sensor Glove for Dexterous Teaching by Demonstration., Sensors 2024, 24, 1912.. https://doi.org/10.3390/s24061912
  • Spisak J, Kerzel M, Wermter S (2024). Robotic Imitation of Human Actions, International Conference on Development and Learning. https://doi.org/10.1109/ICDL61372.2024.10644215
  • Spisak J, Kerzel M, Wermter S (2024). Diffusing in Someone Else’s Shoes: Robotic Perspective-Taking with Diffusion, Int. Conf. on Humanoid Robots (Humanoids). no DOI available yet
  • Fiedler N, Güldenstein J, Naß T, Görner M, Hendrich N, Zhang J (2023). A Multimodal Robotic Blackjack Dealer: Design, Implementation, and Reliability Analysis, Intelligent Autonomous Systems 18 (IAS-18 2023), Lecture Notes in Networks and Systems, vol 794.. https://doi.org/10.1007/978-3-031-44981-9_24
  • Habekost JG, Strahl E, Allgeuer P, Kerzel M, Wermter S (2023). CycleIK: Neuro-inspired Inverse Kinematics, Int. Conf. on Artificial Neural Networks (ICANN). https://doi.org/10.1007/978-3-031-44207-0_38
  • Hafez MB, Wermter S (2023). Continual Robot Learning using Self-Supervised Task Inference, IEEE Transactions on Cognitive and Developmental Systems, vol 16(3), 947-960. https://doi.org/10.1109/TCDS.2023.3315513
  • Jonetzko Y, Ariza O, Schmidt S, Fiedler N, Zhang J (2023). Encountered-Type Tabletop Haptic Display for Objects On-Demand in Virtual Environments, IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2023). http://doi.org/10.1109/ROBIO58561.2023.10354674
  • Kerzel M, Allgeuer P, Strahl E, Frick N, Habekost J-G, Eppe M, Wermter S (2023). NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation., Journal of Nonsense, 1:1, 1-6. https//doi.org/10.1109/ACCESS.2023.3329370
  • Liu SC, Wang S, Chang T, Lin W, Hsiung CW, Hsieh YC, Cheng YP, Luo SH, Zhang J (2023). JarviX: A LLM No Code Platform for Tabular Data Analysis and Optimization, 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 622-630. https://doi.org/10.18653/v1/2023.emnlp-industry.59
  • Spisak J, Kerzel M, Wermter S (2023). Clarifying the Half Full or Half Empty Question: Multimodal Container Classification, Int. Conf. on Artificial Neural Networks (ICANN). https://doi.org/10.1007/978-3-031-44207-0_37
  • Sygo B, Liu S-C, Wieczorek F, Koshil M, Görner M, Hendrich N, Zhang J (2023). Multi-Stage Book Perception and Bimanual Manipulation for Rearranging Book Shelves, Intelligent Autonomous Systems 18 (IAS-18 2023), Lecture Notes in Networks and Systems, vol 795.. https://doi.org/10.1007/978-3-031-44851-5_38
  • Duczek N, Kerzel M, Allgeuer P, Wermter S (2022). Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise Robot, Frontiers in Robotics and AI, vol. 9, pp. 2296-9144. https://doi.org/10.3389/frobt.2022.669719
  • Fiedler N, Ruppel P, Jonetzko Y, Hendrich N, Zhang J (2022). Low-cost fabrication of flexible tactile sensor arrays, HardwareX. 2022 Oct 31;12:e00372. https://doi.org/10.1016/j.ohx.2022.e00372
  • Fiedler N, Vahl F, Feldhusen J, Zhang J (2022). Applying Monocular Depth Estimation in RoboCup Soccer, 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1451-1457. https://doi.org/10.1109/ROBIO55434.2022.10011767
  • Kerzel M, Ambsdorf J, Becker D, Lu W, Strahl E, Spisak J, Gäde C, Weber T, Wermter S (2022). What's on Your Mind, NICO?, Künstl Intell 36, 237–254. https://doi.org/10.1007/s13218-022-00772-8
  • Li S, Hendrich N, Liang H, Ruppel P, Zhang C, Zhang J (2022). A Dexterous Hand-Arm Teleoperation System Based on Hand Pose Estimation and Active Vision, IEEE Transactions on Cybernetics. 2022 Sep 30. https://doi.org/10.1109/TCYB.2022.3207290
  • Lyu J, Maye A, Görner M, Ruppel P, Engel AK, Zhang J (2022). Coordinating human-robot collaboration by EEG-based human intention prediction and vigilance control, Front. Neurorobot. 16:1068274. https://doi.org/10.3389/fnbot.2022.1068
  • Sun X, Weber C, Kerzel M, Weber T, Li M, Wermter S (2022). Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture, Int. Conf. on Artificial Neural Networks (ICANN). https://doi.org/10.1007/978-3-031-15931-2_22
  • Zeng C, Li S, Fang B, Chen Z, Zhang J (2022). Generalization of Robot Force-Relevant Skills through Adapting Compliant Profiles, IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1055-1062, April 2022. https://doi.org/10.1109/LRA.2021.3137907
  • Ahlers D, Wasserfall F, Hendrich N, Büngener A, Butt J-T, Zhang J (2021). Automated In-Situ Placing of Metal Components Into 3D Printed FFF Objects, IEEE Transactions on Mechatronics (TMECH), and IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics (AIM-2021). https://doi.org/10.1109/TMECH.2021.3078409
  • Ahrens K, Abawi F, Wermter S (2021). DRILL: Dynamic Representations for Imbalanced Lifelong Learning. Proceedings of the 30th International, Proc 30th International Conference on Artificial Neural Networks (ICANN 2021), pages 409--420,. https://doi.org/10.1007/978-3-030-86340-1_33
  • Bestmann M, Engelke T, Fiedler N, Güldenstein J, Gutsche J, Hagge J, Vahl F (2021). TORSO-21 Dataset: Typical Objects in RoboCup Soccer 2021, RoboCup 2021: Robot World Cup XXIV Lecture Notes in Computer Science(), vol 13132. https://doi.org/10.1007/978-3-030-98682-7_6
  • Bestmann M, Güldenstein J, Vahl F, Zhang J (2021). Wolfgang-OP: A Robust Humanoid Robot Platform for Research and Competitions, 20th International Conference on Humanoid Robots (Humanoids), pp. 90-97. https://doi.org/10.1109/HUMANOIDS47582.2021.9555808
  • Fiedler N, Ruppel P, Jonetzko Y, Hendrich N, Zhang J (2021). A Low-Cost Modular System of Customizable, Versatile, and Flexible Tactile Sensor Arrays, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 1771-1777. https://doi.org/10.1109/IROS51168.2021.9635851
  • Hafez MB, Wermter S (2021). Behavior Self-Organization Supports Task Inference for Continual Robot Learning, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6739-6746. https://doi.org/10.1109/IROS51168.2021.9636297
  • Jirak D, Biertimpel D, Kerzel M, Wermter S (2021). Solving visual object ambiguities when pointing: an unsupervised learning approach, Neural Comput and Applic 33, 2297–2319 (2021). https://doi.org/10.1007/s00521-020-05109-w
  • Jonetzko Y, Fiedler N, Eppe M, Zhang J (2021). Multimodal Object Analysis with Auditory and Tactile Sensing Using Recurrent Neural Network, International Conference on Cognitive Systems and Signal Processing (ICCSIP 2020), pp 253-265, 2021. https://doi.org/10.1007/978-981-16-2336-3_23
  • Li M, Weber C, Kerzel M, Lee JH, Zeng Z, Liu Z (2021). Robotic Occlusion Reasoning for Efficient Object Existence Prediction, Int. Conf. on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/IROS51168.2021.9635947
  • Logacjov A, Kerzel M, Wermter S (2021). Learning then, learning now, and every second in between: lifelong learning with a simulated humanoid robot, Frontiers in Neurorobotics 15:669534. https://doi.org/10.3389/fnbot.2021.669534
  • Mir G, Kerzel M, Strahl E, Wermter S (2021). A Humanoid Robot Learning Audiovisual Classification By Active Exploration, 2021 IEEE International Conference on Development and Learning (ICDL), pp. 1-6. https://doi.org/10.1109/ICDL49984.2021.9515598
  • Rietz F, Sutherland A, Bensch S, Wermter S, Hellström T (2021). WoZ4U: An Open-Source Wizard-of-Oz Interface for Easy, Efficient and Robust HRI Experiments, Frontiers in Robotics and AI 14;8:668057. https://doi.org/10.3389/frobt.2021.66805
  • Roa MA, Dogar MR, Pages J, Vivas C, Morales A, Correl N, Görner M, Rosell J, Foix S, Memmesheimer R, Ferro F (2021). Mobile Manipulation Hackathon: Moving into Real World Applications, IEEE Robotics and Automation Magazine, vol. 28, no. 2, pp. 112-124, June 2021,. https://doi.org/10.1109/MRA.2021.3061951
  • Stelter S, Bestmann M, Hendrich N, Zhang J (2021). Fast and Reliable Stand-Up Motions for Humanoid Robots Using Spline Interpolation and Parameter Optimization, 20th Intl. Conference on Advanced Robotics (ICAR 2021), pp. 253-260. https://doi.org/10.1109/ICAR53236.2021.9659325
  • Vahl F, Gutsche J, Bestmann M, Zhang J (2021). YOEO – You Only Encode Once: A CNN for Embedded Object Detection and Semantic Segmentation, Proceedings IEEE Intl. Conference of Robotics and Biomimetics (ROBIO 2021), pp. 619-624. https://doi.org/10.1109/ROBIO54168.2021.9739597
  • Beik-Mohammadi H, Kerzel M, Pleintinger B, Hulin T, Reisich P, Schmidt A, Pereira A, Wermter S, Lii NY (2020). Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning, 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 713-720. https://doi.org/10.1109/RO-MAN47096.2020.9223477
  • Bestmann M, Zhang J (2020). Humanoid Control Module: An Abstraction Layer for Humanoid Robots, 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 263-268. https://doi.org/10.1109/ICARSC49921.2020.9096083
  • Hafez MB, Weber C, Kerzel M, Wermter S (2020). Improving robot dual-system motor learning with intrinsically motivated meta-control and latent-space experience imagination, Robotics and Autonomous Systems. 133:103630. https://doi.org/10.1016/j.robot.2020.103630
  • Hendrich N, Wasserfall F, Zhang J (2020). 3D Printed Low-Cost Force-Torque Sensors, IEEE Access, vol. 8, pp. 140569-140585, 2020. https://doi.org/10.1109/ACCESS.2020.3007565
  • Kerzel M, Abawi F, Eppe M, Wermter S (2020). Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks, IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 4, pp. 1331-1343. https://doi.org/10.1109/TCDS.2020.3028460
  • Kerzel M, Pekarek-Rosin T, Strahl E, Heinrich S, Wermter S (2020). Teaching NICO how to grasp: an empirical study on crossmodal interaction as a key factor for robots learning from humans., Frontiers in Neurorobotics, 14, 28. https://doi.org/10.3389/fnbot.2020.00028
  • Kerzel M, Spisak J, Strahl E, Wermter S (2020). Neuro-Genetic Visuomotor Architecture for Robotic Grasping, International Conference on Artificial Neural Networks (pp. 533-545). https://doi.org/10.1007/978-3-030-61616-8_43
  • Kerzel M, Wermter S (2020). Towards a data generation framework for affective shared perception and Social cue learning using virtual avatars, Workshop on Affective Shared Perception, ICDL 2020. paper URL
  • Li S, Jiang J, Ruppel P, Liang H, Ma X, Hendrich N, Sun F, Zhang J (2020). A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 10900-10906. https://doi.org/10.1109/IROS45743.2020.9340738
  • Liang H, Zhou C, Li S, Ma X, Hendrich N, Gerkmann T, Sun F, Stoffel M, Zhang J (2020). Robust Robotic Pouring using Audition and Haptics, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 10880-10887. https://doi.org/10.1109/IROS45743.2020.9340859
  • Mi J, Liang H, Katsakis N, Tang S, Li Q, Zhang C, Zhang J (2020). Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction, Front. Neurorobot. 14:26. https://doi.org/10.3389/fnbot.2020.00026
  • Mi J, Lyu J, Tang S, Li Q, Zhang J (2020). Interactive Natural Language Grounding via Referring Expression Comprehension and Scene Graph Parsing, Front. Neurorobot. 14:43. https://doi.org/10.3389/fnbot.2020.00043
  • Sado F, Loo CK, Liew WS, Kerzel M, Wermter S (2020). Explainable Goal-Driven Agents and Robots--A Comprehensive Review., ACM Computing Surveys,. https://doi.org/10.1145/3564240

Publications of the first funding period (2016-2019)

  • Beik-Mohammadi, H., Ali Zamani, M., Kerzel, M., Wermter, M. (2019). Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task. Artificial Neural Networks and Machine Learning (ICANN 2019).
  • Hafez B., Weber, C., Kerzel, M., Wermter, M. (2019). Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space. Proceedings of the Ninth Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), pages 240-246.
  • Kerzel, M., Eppe, M., Heinrich, S., Abawi, F., Wermter, S. (2019). Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid. 2019 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), pages 19-24.
  • Hafez, B., Weber, C., Kerzel, M., Wermter, S. (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 (IJCNN).
  • Kerzel, M., Strahl, E., Gaede, C., Gasanov, E., Wermter, S. (2019). Neuro-Robotic Haptic Object Classification by Active Exploration on a Novel Dataset. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2019).
  • Heinrich, S., Springstübe, P., Knöppler, T., Kerzel, M., Wermter, S. (2019). Continuous convolutional object tracking in developmental robot scenarios. Neurocomputing, Volume 342, pages 137-144. doi:10.1016/j.neucom.2018.10.086 (open access).
  • Hafez, B., Weber, C., Kerzel, M., Wermter, S. (2019). Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning. Paladyn. Journal of Behavioral Robotics, Volume 10, Number 1, pages 14-29. doi:10.1515/pjbr-2019-0005 (open access).
  • Philipp Ruppel, Norman Hendrich, Jianwei Zhang (2019). Low-cost multi-view pose tracking using active markers, IEEE ICPS/MFI 2019, pp. 261-268, Taipei, Taiwan.
  • Niklas Fiedler, Marc Bestmann, Jianwei Zhang (2019). Position Estimation on Image-Based Heat Map Input using Particle Filters in Cartesian Space, IEEE ICPS/MFI 2019, pp. 269-274, Taipei, Taiwan.
  • Xinqiang Pan, Yao Shuai, Chuangui Wu, Lu Zhang, Hongliang Guo, Hong Cheng, Yun Peng, Shijun Qiao, Wenbo Luo, Tao Wang, Xiangyu Sun, Huizhong Zeng, Jianwei Zhang, Wanli Zhang, Xin Ou, Nan Du, Heidemarie Schmidt (2019). Ar+ ions irradiation induced memristive behavior and neuromorphic computing in monolithic LiNbO3 thin films, Applied Surface Science 484, p. 751–758 (2019), doi: 0.1016/j.apsusc.2019.04.114
  • Xinqiang Pan, Yao Shuai, Chuangui Wu, Wenbo Luo, Xiangyu Sun, Huizhong Zeng, Hongliang Guo, Ye Yuan, Shengqiang Zhou, Roman Böttger, Hong Cheng, Jianwei Zhang, Wanli Zhang, Heidemarie Schmidt (2019). Compliance-current-modulated resistive switching with multi-level resistance states in single-crystalline LiNbO3 thin film. Solid State Ionics, 334, p. 1-4, 2019. doi: 10.1016/j.ssi.2019.01.026
  • Lu, S., Qi, X., Hu, Y., Li, B., & Zhang, J. (2019). Deployment Dynamics of Large Space Antenna and Supporting Arms. IEEE Access.
  • Sun, Y., Jiang, Z., Qi, X., Hu, Y., Li, B., & Zhang, J. (2019). Model-based spinal deformation compensation in robot-assisted decompressive laminectomy. Mechatronics, 59, 115-126.
  • Siqueira H., Sutherland, A., Barros, P., Kerzel, M., Magg, S., Wermter, S. (2018). Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue. IEEE-RAS International Conference on Humanoid Robots (Humanoids), 433-440.
  • Heinrich, S., Kerzel, M., Strahl, E., Wermter, S. (2018). Embodied Multi-modal Interaction in Language learning: the EMIL data collection. Proceedings of the ICDL-EpiRob Workshop on Active Vision, Attention, and Learning (ICDL-Epirob 2018 AVAL).
  • Beik-Mohammadi, H., Kerzel, M., Görner, M., Zamani, M. A., Eppe, M., and Wermter, S. (2018). Neural end-to-end learning of reach for grasp ability with a 6-DOF robot arm. IROS 2018 Workshop on Machine Learning in Robot Motion Planning.
  • Eppe, M., Kerzel, M., Strahl, E., and Wermter, S. (2018). Deep neural object analysis by interactive auditory exploration with a humanoid robot. IEEE/RSJ International Conference on Intelligent Robots and Systems.
  • Griffiths, S., Alpay, T., Sutherland, A., Kerzel, M., Eppe, M., Strahl, E., and Wermter, S. (2018). Exercise with social robots: Companion or coach? Sebastian Schneider, Sascha Griffiths, C. A. C. G. S. W. B. W., editor, Proceedings of Workshop on Personal Robots for Exercising and Coaching at the HRI 2018 (HRI2018), New York, NY, USA. ACM.
  • Hafez, B., Kerzel, M., Weber, C., and Wermter, S. (2018). Slowness-based neural visuomotor control with an intrinsically motivated continuous actor-critic. Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pages 509–514.
  • Hafez, B., Weber, C., Kerzel, M., and Wermter, S. (2018). Deep intrinsically motivated continuous actor-critic for efficient robotic visuomotor skill learning. arXiv:1810.11388 (Accepted in Paladyn, Journal of Behavioral Robotics).
  • Josifovski, J., Kerzel, M., Pregizer, C., Posniak, L., and Wermter, S. (2018). Object detection and pose estimation based on convolutional neural networks trained with synthetic data. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, pages 6269–6276.
  • Kerzel, M., Beik-Mohammadi, H., Zamani, M. A., and Wermter, S. (2018). Accelerating deep continuous reinforcement learning through task simplification. International Joint Conference on Neural Networks (IJCNN), pages 139–144.
  • Ng, H. G., Kerzel, M., Mehnert, J., May, A., and Wermter, S. (2018). Classification of mri migraine medical data using 3d convolutional neural network. International Conference on Artificial Neural Networks - ICANN 2018, pages 300–309. Springer.
  • Strahl, E., Kerzel, M., Eppe, M., Griffiths, S., and Wermter, S. (2018). Hear the egg demonstrating robotic interactive auditory perception. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018.
  • Zamani, M. A., Beik-Mohammadi, H., Kerzel, M., Magg, S., and Wermter, S. (2018). Learning spatial representation for safe human-robot collaboration in joint manual tasks. ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE) .
  • Fiedler, N., Bestmann, M., and Hendrich, N. (2018). ImageTagger: An Open Source Online Platform for Collaborative Image Labeling, RoboCup Symposium 2018, Montreal, Canada.
  • Speck, D., Bestmann, M., and Barros, P. (2018). Towards Real-Time Ball Localization using CNNs. RoboCup Symposium 2018, Montreal, Canada.
  • Li, S., Liang, H., and Zhang, J. (2018). Path Planning for Wheeled Mobile Service Robots based on Improved Genetic Algorithm", Shanghai International Symposium on Human-Centered Robotics (HCR), 251-254, 2018.
  • Kerzel, M., Wermter, S. (2017). Learning of neurobotic visuomotor abilities based on interactions with the environment, Proceedings of the DGR Days 2017, T. Asfour and M. Beetz, Eds., pages 14-15.
  • Parisi, G.I., Barros, M., Kerzel, M., Wu, H., Yang, G., Li, Z., Liu, X., Wermter S. (2017). A computational model of crossmodal processing for conflict resolution. Proceedings of the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics., pages 33-38.
  • Kerzel, M., Wermter S. (2017). Neural end-to-end self-learning of visuomotor skills by environment interaction. Artificial Nueral Networks and Machine Learning, ICANN-2017. Lecture Notes in Computer Science, vol. 10613, Springer. pages 27-34.
  • Kerzel, M., Strahl, E., Magg, S., Navarro-Guerrero, N., Heinrich, S., Wertmer S. (2017). NICO - neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. Proceedings IEEE International Symposium on Robot and Human Interactive Communication (ROMAN-2017). pages 113-120.
  • Kerzel, M., Ali, M.M.M., Ng, H.G., Wermter S. (2017). Haptic material classification with a multi-channel neural neetwork. International Joint Conference on Neural networks, IJCNN-2017, Anchorage, Alaska. IEEE, pages 439-446.
  • Eppe, M., Kerzel, M., Griffiths, S., Ng, H.G., Wermter S. (2017). Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2017), pages 612-617.
  • Kerzel, M., Ng, H.G., Griffiths, S., Wermter S. (2017). Effect of a humanoids active role during learning with embodied dialogue systems. Workshop Towards Intelligent Social Robots, IEEE International Symposium on Robot and Human Interactive Communication (ROMAN-2017).
  • Li Q., Liu G., Tang J., Zhang J. (2016). A simple 2D straight-leg passive dynamic walking model without foot-scuffing problem. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5155-5161.