13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2022

Papers in WoS Journals

AZAYEV, T. and K. ZIMMERMANN. Autonomous state-based flipper control for articulated tracked robots in urban environments. IEEE Robotics and Automation Letters. 2022, 7(3), 7794-7801. ISSN 2377-3766. DOI 10.1109/LRA.2022.3185762. Available from: https://ieeexplore.ieee.org/document/9804853

STRAKA, Z., J.-P. NOEL, and M. HOFFMANN. A normative model of peripersonal space encoding as performing impact prediction. PLOS Computational Biology. 2022, 18(9), ISSN 1553-7358. DOI 10.1371/journal.pcbi.1010464. Available from: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010464

ŠTĚPÁNOVÁ, K., et al. Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation. Robotics and Computer-Integrated Manufacturing. 2022, 73 ISSN 0736-5845. DOI 10.1016/j.rcim.2021.102250.

AGISHEV, R., T. PETŘÍČEK, and K. ZIMMERMANN. Trajectory Optimization using Learned Robot-Terrain Interaction Model in Exploration of Large Subterranean Environments. IEEE Robotics and Automation Letters. 2022, 7(2), 3365-3371. ISSN 2377-3766. DOI 10.1109/LRA.2022.3147332. Available from: https://ieeexplore.ieee.org/document/9699042

RUSTLER, L., et al. Active Visuo-Haptic Object Shape Completion. IEEE Robotics and Automation Letters. 2022, 7(2), 5254-5261. ISSN 2377-3766. DOI 10.1109/LRA.2022.3152975. Available from: https://ieeexplore.ieee.org/document/9720238

VACEK, P., et al. Learning to Predict Lidar Intensities. IEEE Transactions on Intelligent Transportation Systems. 2022, 23(4), 3556-3564. ISSN 1558-0016. DOI 10.1109/TITS.2020.3037980. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9339933

ŠVARNÝ, P., et al. Effect of Active and Passive Protective Soft Skins on Collision Forces in Human-robot Collaboration. Robotics and Computer-Integrated Manufacturing. 2022, 78 ISSN 1879-2537. DOI 10.1016/j.rcim.2022.102363. Available from: https://www.sciencedirect.com/science/article/pii/S0736584522000515

Books, Book Chapters and Lecture Notes

HOFFMANN, M. and M.R. LONGO. Body models in humans and robots. In: ALSMITH, A.J.T. and M.R. LONGO, eds. The Routledge Handbook of Bodily Awareness. Oxon: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2022. p. 185-197. ISBN 978-0-367-33731-5. DOI 10.4324/9780429321542-18.

HOFFMANN, M. Biologically inspired robot body models and self-calibration. In: ANG, M.H., O. KHATIB, and B. SICILIANO, eds. Encyclopedia of Robotics. Berlin & Heidelberg: Springer, 2022. ISBN 978-3-642-41610-1. DOI 10.1007/978-3-642-41610-1_201-1. Available from: https://link.springer.com/referenceworkentry/10.1007/978-3-642-41610-1_201-1

Conference Proceedings

MARCEL, V., J.K. O'REGAN, and M. HOFFMANN. Learning to reach to own body from spontaneous self-touch using a generative model. In: 2022 IEEE International Conference on Development and Learning (ICDL). IEEE International Conference on Development and Learning, London, 2022-09-12/2022-09-15. Piscataway: IEEE, 2022. p. 328-335. ISBN 978-1-6654-1311-4. DOI 10.1109/ICDL53763.2022.9962186. Available from: https://ieeexplore.ieee.org/document/9962186

DOČEKAL, J., et al. Human keypoint detection for close proximity human-robot interaction. In: 2022 IEEE-RAS International Conference on Humanoid Robots (Humanoids). 2022 IEEE-RAS International Conference on Humanoid Robots, Okinawa, 2022-11-28/2022-11-30. Piscataway, NJ: IEEE, 2022. p. 450-457. ISSN 2164-0580. ISBN 979-8-3503-0979-9. DOI 10.1109/Humanoids53995.2022.10000133. Available from: https://ieeexplore.ieee.org/document/10000133

FRIEBE, K., et al. Gaze Cueing and the Role of Presence in Human-Robot Interaction. In: CAVALLO, F., L. FIORINI, and A. SORENTINO, eds. Social Robotics. International Conference on Social Robotics (ICSR), Florencie, 2022-12-13/2023-02-16. Springer, Cham, 2022. p. 402-414. Lecture Notes in Computer Science. vol. 13817. ISSN 0302-9743. ISBN 978-3-031-24666-1. DOI 10.1007/978-3-031-24667-8_36.

KHOURY, J., et al. Self-touch and other spontaneous behavior patterns in early infancy. In: 2022 IEEE International Conference on Development and Learning (ICDL). IEEE International Conference on Development and Learning, London, 2022-09-12/2022-09-15. Piscataway: IEEE, 2022. p. 148-155. ISBN 978-1-6654-1311-4. DOI 10.1109/ICDL53763.2022.9962203. Available from: https://ieeexplore.ieee.org/document/9962203

LEHMANN, H., et al. Hey, Robot! An Investigation of Getting Robot’s Attention Through Touch. In: CAVALLO, F., L. FIORINI, and A. SORENTINO, eds. Social Robotics. International Conference on Social Robotics (ICSR), Florencie, 2022-12-13/2023-02-16. Springer, Cham, 2022. p. 388-401. Lecture Notes in Computer Science. vol. 13817. ISSN 0302-9743. ISBN 978-3-031-24666-1. DOI 10.1007/978-3-031-24667-8_35.

DIMICCOLI, M., et al. Recognizing object surface material from impact sounds for robot manipulation. In: Intelligent Robots and Systems (IROS), 2022 IEEE/RSJ International Conference on. Kyoto, 2022-10-23/2022-10-27. Piscataway: IEEE, 2022. p. 9280-9287. ISSN 2153-0858. ISBN 978-1-6654-7927-1. DOI 10.1109/IROS47612.2022.9981578. Available from: https://ieeexplore.ieee.org/abstract/document/9981578

ŠVARNÝ, P., et al. Functional Mode Switching for Safe and Efficient Human-Robot Interaction. In: 2022 IEEE-RAS International Conference on Humanoid Robots (Humanoids). 2022 IEEE-RAS International Conference on Humanoid Robots, Okinawa, 2022-11-28/2022-11-30. Piscataway, NJ: IEEE, 2022. p. 888-894. ISSN 2164-0580. ISBN 979-8-3503-0979-9. DOI 10.1109/Humanoids53995.2022.10000070. Available from: https://ieeexplore.ieee.org/document/10000070

MALINOVSKÁ, K., et al. A connectionist model of associating proprioceptive and tactile modalities in a humanoid robot. In: 2022 IEEE International Conference on Development and Learning (ICDL). IEEE International Conference on Development and Learning, London, 2022-09-12/2022-09-15. Piscataway: IEEE, 2022. p. 336-342. ISBN 978-1-6654-1311-4. DOI 10.1109/ICDL53763.2022.9962195. Available from: https://ieeexplore.ieee.org/document/9962195