Publications
2023
Kegel, M.M. & Stock-Homburg, R.M. Customer Responses to (Im)Moral Behavior of Service Robots – Online Experiments in a Retail
Setting. Accepted in the 56th Hawaii International Conference on System Sciences (HICSS). pp.1500-1509
Knof, M.; Stock-Homburg, R. & Schurer, J. (2023): How in-store sensor technologies can help retailers to understand their customers: overview on two decades of research, The International Review of Retail, Distribution and Consumer Research, DOI: 10.1080/09593969.2023.2273256
2022
Gethmann, C. F.; Buxmann, P.; Distelrath, J.; Humm, B. G.; Lingner, S.; Nitsch, V.; Schmidt, J. C.; Spiecker gen. Döhmann, I. (2022). Künstliche Intelligenz in der Forschung: Neue Möglichkeiten und Herausforderungen für die Wissenschaft. Springer Verlag GmbH.
Jauhri, S., Peters, J. and Chalvatzaki, G. (2022). Robot Learning of Mobile Manipulation with Reachability Behavior Priors. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
Knof, M.; Heinisch, J. S.; Kirchhoff, J.; Rawal, N.; David, K.; von Stryk, O.; Stock-Homburg, R. M. (2022). Implications from Responsible Human-Robot Interaction with Anthropomorphic Service Robots for Design Science. In the 55th Hawaii International Conference on System Sciences (HICSS), pp. 5827-5836.
Lambert, A.,Le, A.T., Urain, J., Chalvatzaki, G., Boots, B. and Peters, J.(2022). Learning Implicit Priors for Motion Optimization. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
Liu, P., Zhang, K., Tateo,D.,Jauhri, S.,Peters,J. and Chalvatzaki, G.(2022). RegularizedDeep Signed Distance Fields for Reactive Motion Generation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
Rawal, N., Koert, D., Turan, C., Kersting, K., Peters, J., & Stock-Homburg, R. (2022). ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers in Robotics and AI, 8.
Rawal, N. & Stock-Homburg, R. (2022). Facial Emotion Expressions in Human-Robot Interaction: A Survey. International Journal of Social Robotics (IJSR).
Schmidt, M., Kirchhoff, J. & von Stryk, O. (2022). A Modular and Portable Black Box Recorder for Increased Transparency of Autonomous Service Robots. In IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 10673-10680, doi: 10.1109/LRA.2022.3193633.
Schneider, T., Belousov, B., Chalvatzaki, G., Romeres, D., Jha, D. and Peters, J. (2022). Active Exploration for Robotic Manipulation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
Spiecker gen. Döhmann, I.; Benecke, A. (2022), § 24 Europäisches Datenschutzrecht. In: Terhechte, J. (ed.), Verwaltungsrecht der Europäischen Union, 2. Auflage, Nomos, pp. 997-1040.
Stock-Homburg, R. (2022). Androide Roboter: Menschliche Assoziationen und ethische Aspekte der Gestaltung und des Einsatzes. Sammelband des Workshops "Die Formen der Bio-Robotik".
Stock-Homburg, R. M.; Kirchhoff, J.; Heinisch, J. S.; Ebert, A.; Busch, P.; Rawal, N.; David, K.; Wendt, J.; Spiecker gen. Döhmann, I.; von Stryk, O.; Hannig, M.; Knof, M. (2022). Responsible Human-Robot Interaction with Anthropomorphic Service Robots: State of the Art of an Interdisciplinary Research Challenge. In the 55th Hawaii International Conference on System Sciences (HICSS), pp. 2065-2074.
Stock-Homburg, R.; Knof, M.; Kirchhoff, J.; Heinisch, J. S.; Ebert, A.; Busch, P.; David, K.; Wendt, J.; Spiecker gen. Döhmann, I.; von Stryk, O.; Hannig, M. (in press). Dienstleistungsroboter im Handel: Einsatzmöglichkeiten und verantwortungsbewusster Einsatz. In L. Binckebanck; R. Elste; A. Haas (Hrsg.): Digitalisierung im Vertrieb (2. Auflage). Springer Fachmedien Wiesbaden GmbH.
2021
Ebert, A.; Spiecker gen. Döhmann, I. (2021). Die EU als Trendsetter weltweiter KI-Regulierung: Der Kommissionsentwurf für eine KI-Verordnung der EU. Neue Zeitschrift für Verwaltungsrecht (NVwZ), pp. 1188-1193.
Li, Q., Chalvatzaki, G., Peters, J., & Wang, Y. (2021). Directed Acyclic Graph Neural Network for Human Motion Prediction. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3197-3204). IEEE.
Morgan, A. S., Nandha, D., Chalvatzaki, G., D’Eramo, C., Dollar, A. M., & Peters, J. (2021). Model predictive actor-critic: accelerating robot skill acquisition with deep reinforcement learning. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 6672-6678). IEEE.
Prasad, V., Stock-Homburg, R., & Peters, J. (2021). Human-robot handshaking: A review. International Journal of Social Robotics, pp. 1-17.
Prasad, V., Stock-Homburg, R., & Peters, J. (2021). Learning Human-like Hand Reaching for Human-Robot Handshaking. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 3612-3618). IEEE.
Stock-Homburg, R. (2021). Survey of Emotions in Human-Robot Interactions: After 20 Years of Research: What Do We Know and What Do We Still Have to Learn? International Journal of Social Robotics (IJSR).
Stock-Homburg, R. & von Stryk, Oskar (2021). Keynote: RoboTrust: Trustworthy Interaction between Humans and Anthropomorphic Service Robots. Published In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshop Emotion Aware), pp. 56-56.
Tanneberg, D., Ploeger, K., Rueckert, E., & Peters, J. (2021). Skid raw: Skill discovery from raw trajectories. IEEE Robotics and Automation Letters, 6(3), pp. 4696-4703.
2020
Ebert, A. (2020). Book Review of Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way by Virginia Dignum. European Data Protection Law Review (EDPL), pp. 625-626.
Hannig, M. & Stock-Homburg, R. (2020). Conversational Flow in Human-Robot Interactions at the Workplace: Comparing Humanoid and Android Robots. Proceedings 12 of the International Conference on Social Robotics (ICSR).
Hannig, M. & Stock-Homburg, R. (2020). Is There a Privacy Paradox in the Workplace? Proceedings of the International Conference on Information Systems (ICIS).
Koert, D.; Trick, S.; Ewerton, M.; Lutter, M. & Peters, J. (2020). Incremental Learning of an Open-Ended Collaborative Skill Library, International Journal of Humanoid Robotics (IJHR).
Lioutikov, R.; Maeda, G.; Veiga, F.F.; Kersting, K. & Peters, J. (2020). Learning Attribute Grammars for Movement Primitive Sequencing, International Journal of Robotics Research (IJRR).
Prasad, V.; Stock-Homburg, R. & Peters, J. (2020). Advances in Human-Robot Handshaking Proceedings of the International Conference on Social Robotics (ICSR).
Stock-Homburg, R.; Peters, J.; Schneider, K.; Prasad, V. & Nukovic, L. (2020). Evaluation of the Handshake Turing Test for anthropomorphic Robots. In Companion of the ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Zelch, C.; Peters, J.; von Stryk, O. (2020). Learning Control Policies from Optimal Trajectories, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
2019
Koert, D.; Pajarinen, J.; Schotschneider, A.; Trick, S., Rothkopf, C.; Peters, J. (2019). Learning Intention Aware Online Adaption of Movement Primitives, IEEE Robotics and Automation Letters (RA-L), with presentation at the IEEE International Conference on Intelligent Robots and Systems (IROS).
Trick, S.; Koert, D.; Peters, J.; Rothkopf, C. (2019). Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).