13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2019

Papers in WoS Journals

PETŘÍČEK, T., et al. Simultaneous exploration and segmentation for search and rescue. Journal of Field Robotics. 2019, 36(4), 696-709. ISSN 1556-4959. DOI 10.1002/rob.21847.

CHINN, L.K., et al. Development of Infant Reaching Strategies to Tactile Targets on the Face. Frontiers in Psychology. 2019, 10 ISSN 1664-1078. DOI 10.3389/fpsyg.2019.00009. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00009/abstract

TANIGUCHI, T., et al. Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Transactions on Cognitive and Developmental Systems. 2019, 11(4), 494-516. ISSN 2379-8920. DOI 10.1109/TCDS.2018.2867772.

ŠTĚPÁNOVÁ, K., T. PAJDLA, and M. HOFFMANN. Robot Self-Calibration Using Multiple Kinematic Chains-A Simulation Study on the iCub Humanoid Robot. IEEE Robotics and Automation Letters. 2019, 4(2), 1900-1907. ISSN 2377-3766. DOI 10.1109/LRA.2019.2898320. Available from: https://arxiv.org/abs/1805.07263

KUBELKA, V., M. REINŠTEIN, and T. SVOBODA. Tracked Robot Odometry for Obstacle Traversal in Sensory Deprived Environment. IEEE-ASME TRANSACTIONS ON MECHATRONICS. 2019, 24(6), 2745-2755. ISSN 1083-4435. DOI 10.1109/TMECH.2019.2945031.

CHINN, L.K., et al. Reaching with one arm to the other: Coordinating touch, proprioception, and action during infancy. Journal of Experimental Child Psychology. 2019, 183 19-32. ISSN 0022-0965. DOI 10.1016/j.jecp.2019.01.014.

Conference Proceedings

ŠVARNÝ, P. and M. HOFFMANN. Jak číst standard(y) a něco si z toho vzít. In: Kognícia a umelý život 2019. Hotel Barónka, Bratislava, 2019-05-29/2019-05-31. Univerzita Komenského v Bratislave, 2019. p. 116-118. ISBN 978-80-223-4720-4. Available from: http://cogsci.fmph.uniba.sk/kuz2019/

CVRČEK, V. and R. ŠÁRA. Detection and certification of faint streaks in astronomical images. In: VISAPP2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 5. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Praha, 2019-02-25/2019-02-27. Porto: SciTePress - Science and Technology Publications, 2019. p. 498-509. ISBN 978-989-758-354-4. DOI 10.5220/0007399804980509.

ŠVARNÝ, P., et al. Safe physical HRI: Toward a unified treatment of speed and separation monitoring together with power and force limiting. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. p. 7580-7587. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8968463. Available from: https://ieeexplore.ieee.org/document/8968463

NGUYEN, P.D.H., et al. Reaching development through visuo-proprioceptive-tactile integration on a humanoid robot - A deep learning approach. In: Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, 2019-08-19/2019-08-22. Anchorage, Alaska: IEEE, 2019. p. 163-170. ISSN 2161-9484. ISBN 978-1-5386-8128-2. DOI 10.1109/DEVLRN.2019.8850681.

ZARDYKHAN, D., et al. Collision Preventing Phase-Progress Control for Velocity Adaptation in Human-Robot Collaboration. In: 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids). Humanoid Robots (Humanoids), 2019 IEEE-RAS 19th International Conference on, Toronto, 2019-10-15/2019-10-17. Piscataway, NJ: IEEE, 2019. p. 266-273. ISSN 2164-0580. ISBN 978-1-5386-7630-1. DOI 10.1109/Humanoids43949.2019.9035065. Available from: https://ieeexplore.ieee.org/document/9035065

STRAKA, Z. and M. HOFFMANN. Learning a peripersonal space representation using Conditional Restricted Boltzmann Machine. In: Kognícia a umelý život 2019. Hotel Barónka, Bratislava, 2019-05-29/2019-05-31. Univerzita Komenského v Bratislave, 2019. p. 104-105. ISBN 978-80-223-4720-4. Available from: http://cogsci.fmph.uniba.sk/kuz2019/files/zbornik/straka-hoffmann.pdf

GAMA, F. and M. HOFFMANN. The homunculus for proprioception: Toward learning the representation of a humanoid robot's joint space using self-organizing maps. In: Proceedings of the 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Oslo, 2019-08-19/2019-08-22. Anchorage, Alaska: IEEE, 2019. p. 113-114. ISSN 2161-9484. ISBN 978-1-5386-8128-2. Available from: https://arxiv.org/abs/1909.02295