Tomáš Petříček
Tomáš Petříček
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Experience in System Design for Human-Robot Teaming in Urban Search & Rescue⋆
GJM Kruijff, M Janıcek, S Keshavdas, B Larochelle, H Zender, N Smets, ...
Designing, developing, and deploying systems to support human–robot teams in disaster response
GJM Kruijff, I Kruijff-Korbayová, S Keshavdas, B Larochelle, M Janíček, ...
Advanced Robotics 28 (23), 1547-1570, 2014
A unified framework for planning and execution-monitoring of mobile robots
M Gianni, P Papadakis, F Pirri, M Liu, F Pomerleau, F Colas, ...
Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
Darpa subterranean challenge: Multi-robotic exploration of underground environments
T Rouček, M Pecka, P Čížek, T Petříček, J Bayer, V Šalanský, D Heřt, ...
International Conference on Modelling and Simulation for Autonomous Systesm …, 2019
Point cloud registration from local feature correspondences—Evaluation on challenging datasets
T Petricek, T Svoboda
PloS one 12 (11), e0187943, 2017
Learning for active 3D mapping
K Zimmermann, T Petricek, V Salansky, T Svoboda
Proceedings of the IEEE International Conference on Computer Vision, 1539-1547, 2017
Adaptive traversability of partially occluded obstacles
K Zimmermann, P Zuzánek, M Reinstein, T Petříček, V Hlaváč
2015 IEEE International Conference on Robotics and Automation (ICRA), 3959-3964, 2015
Area-weighted surface normals for 3D object recognition
T Petříček, T Svoboda
Proceedings of the 21st international conference on pattern recognition …, 2012
Simultaneous exploration and segmentation for search and rescue
T Petříček, V Šalanský, K Zimmermann, T Svoboda
Journal of Field Robotics 36 (4), 696-709, 2019
Matching by normalized cross-correlation—reimplementation, comparison to invariant features
T Petrıcek, T Svoboda
Czech Technical University, Sept9, 2010
Pose Consistency KKT-Loss for Weakly Supervised Learning of Robot-Terrain Interaction Model
V Šalanský, K Zimmermann, T Petříček, T Svoboda
IEEE Robotics and Automation Letters 6 (3), 5477-5484, 2021
Simultaneous Localization and Mapping using Iterative Closest Point
T Petrıcek
ARO Homework: Simultaneous Localization and Mapping (SLAM) using Iterative Closest Point (ICP)
T Petrıcek
Coupled Learning and Planning for Active 3D Mapping
T Petříček
3D Object Recognition and Pose Estimation
T Petrıcek
Detail of the student project
T Petříček
DR 2.2: Stereo-and omni-directional vision for human-assisted exploration
T Svoboda, K Zimmermann, T Petrıcek, M Reinštein, O Drbohlav, ...
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