13133 / 13164 - Publikace - 2024
13133 / 13164 - vidění pro roboty a autonomní systémy
Publikační činnost 2024
Články v časopisech WoS
PATNI, S. et al. Online elasticity estimation and material sorting using standard robot grippers. The International Journal of Advanced Manufacturing Technology. 2024, 132(11-12), 6033-6051. ISSN 1433-3015. DOI 10.1007/s00170-024-13678-6. Dostupné z: https://link.springer.com/article/10.1007/s00170-024-13678-6
PLISKA, M. et al. Single-Grasp Deformable Object Discrimination: The Effect of Gripper Morphology, Sensing Modalities, and Action Parameters. IEEE Transactions on Robotics. 2024, 40 4414-4426. ISSN 1552-3098. DOI 10.1109/TRO.2024.3463402.
STRAKA, Z., T. SVOBODA a M. HOFFMANN. PreCNet: Next-Frame Video Prediction Based on Predictive Coding. IEEE Transactions on Neural Networks and Learning Systems. 2024, 35(8), 10353-10367. ISSN 2162-237X. DOI 10.1109/TNNLS.2023.3240857.
MORAVEC, J. a R. ŠÁRA. Online Camera-LiDAR Calibration Monitoring and Rotational Drift Tracking. IEEE Transactions on Robotics. 2024, 40 1527-1545. ISSN 1552-3098. DOI 10.1109/TRO.2023.3347130.
MORAVEC, J. a R. ŠÁRA. High-recall calibration monitoring for stereo cameras. Pattern Analysis and Applications. 2024, 27(2), ISSN 1433-7541. DOI 10.1007/s10044-024-01264-1.
Články v ostatních periodikách
FATAHI, M.F., P.B. BOULET a G. D´ANGELO. Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware. Neuromorphic Computing and Engineering. 2024, 4(3), ISSN 2634-4386. DOI 10.1088/2634-4386/ad76d5. Dostupné z: https://iopscience.iop.org/article/10.1088/2634-4386/ad76d5/meta
Stati ve sbornících konferencí
RUSTLER, L., M. MÍSAŘ a M. HOFFMANN. Adaptive Electronic Skin Sensitivity for Safe Human-Robot Interaction. In: 2024 IEEE-RAS 23th International Conference on Humanoid Robots (Humanoids). Nancy, 2024-11-22/2024-11-24. Piscataway: IEEE, 2024. s. 475-482. ISSN 2164-0580. ISBN 979-8-3503-7357-8. DOI 10.1109/Humanoids58906.2024.10769602. Dostupné z: https://ieeexplore.ieee.org/document/10769602
BIELEWSKI, K. et al. Best Practices for Differentiable Soft Robot Modeling and Optimization with the Material Point Method. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. The 2024 Conference on Artificial Life, Kodaň, 2024-07-22/2024-07-26. Cambridge: The MIT Press, 2024. s. 87-94. DOI 10.1162/isal_a_00724. Dostupné z: https://direct.mit.edu/isal/proceedings/isal2024/36/11/123518
KRUŽLIAK, A. et al. Interactive learning of physical object properties through robot manipulation and database of object measurements. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, 2024-10-14/2024-10-18. Piscataway: IEEE, 2024. s. 7596-7603. ISSN 2153-0866. ISBN 979-8-3503-7770-5. DOI 10.1109/IROS58592.2024.10802249. Dostupné z: https://ieeexplore.ieee.org/document/10802249
SHAHRIARI, E. et al. Enhancing Robustness in Manipulability Assessment: The Pseudo-Ellipsoid Approach. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, 2024-10-14/2024-10-18. Piscataway: IEEE, 2024. s. 1329-1336. ISSN 2153-0866. ISBN 979-8-3503-7770-5. DOI 10.1109/IROS58592.2024.10801492. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10801492
AGISHEV, R. et al. End-to-end Differentiable Model of Robot-terrain Interactions. In: ICML2024 Workshop: Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators. ICML2024: International Conference on Machine Learning, Vienna, 2024-07-21/2024-07-27. Vienna: IEEE Industrial Electronic Society, 2024. Dostupné z: https://differentiable.xyz/papers-2024/paper_30.pdf
AGISHEV, R. et al. MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabi, 2024-10-14/2024-10-18. Piscataway: IEEE, 2024. s. 12896-12903. ISSN 2153-0866. ISBN 979-8-3503-7770-5. DOI 10.1109/IROS58592.2024.10801353. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10801353