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2020 – today
- 2024
[j50]Jindriska Deckerová
, Petr Vána, Jan Faigl:
Combinatorial lower bounds for the Generalized Traveling Salesman Problem with Neighborhoods. Expert Syst. Appl. 258: 125185 (2024)- [j49]Ping Zhou, Xuewu Dai, Kyriakos G. Vamvoudakis, Jan Faigl, Hong Wang:
Guest Editorial Special Issue on Learning From Imperfect Data for Industrial Automation. IEEE Trans Autom. Sci. Eng. 21(2): 1088-1091 (2024) - [c106]Martin Zoula, Jan Faigl:
Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection Missions. ICRA 2024: 5970-5976 - 2023
- [j48]Milos Prágr, Jan Bayer, Jan Faigl:
Autonomous exploration with online learning of traversable yet visually rigid obstacles. Auton. Robots 47(2): 161-180 (2023) - [j47]Jan Bayer, Petr Cízek, Jan Faigl:
Autonomous Multi-robot Exploration with Ground Vehicles in DARPA Subterranean Challenge Finals. Field Robotics 3(1): 266-300 (2023) - [j46]David Valouch, Jan Faigl:
Caterpillar Heuristic for Gait-Free Planning With Multi-Legged Robot. IEEE Robotics Autom. Lett. 8(8): 5204-5211 (2023) - [j45]Frantisek Nekovár, Jan Faigl, Martin Saska:
Multi-Vehicle Dynamic Water Surface Monitoring. IEEE Robotics Autom. Lett. 8(10): 6323-6330 (2023) - [c105]Jindriska Deckerová, Kristýna Kucerová, Jan Faigl:
On Improvement Heuristic to Solutions of the Close Enough Traveling Salesman Problem in Environments with Obstacles. ECMR 2023: 1-6 - [c104]Vsevolod Hulchuk, Jan Bayer, Jan Faigl:
Graph-based LiDAR-Inertial SLAM Enhanced by Loosely-Coupled Visual Odometry. ECMR 2023: 1-8 - [c103]David Valouch, Jan Faigl:
Motion Planning for Multi-Legged Robots Using Levenberg-Marquardt Optimization with Bézier Parametrization. ECMR 2023: 1-5 - [c102]Rudolf J. Szadkowski, Muhammad Sunny Nazeer, Matteo Cianchetti, Egidio Falotico, Jan Faigl:
Bootstrapping the Dynamic Gait Controller of the Soft Robot Arm. ICRA 2023: 2669-2675 - [c101]Jakub Sláma, Jáchym Herynek, Jan Faigl:
Risk-Aware Emergency Landing Planning for Gliding Aircraft Model in Urban Environments. IROS 2023: 4820-4826 - [c100]Jirí Kubík, Jan Faigl:
Learning-based Leg Contact Detection using Position Feedback Only. ITAT 2023: 76-81 - [i7]Frantisek Nekovár, Jan Faigl, Martin Saska:
Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning. CoRR abs/2302.01163 (2023) - [i6]Frantisek Nekovár, Jan Faigl, Martin Saska:
Multi-Tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection. CoRR abs/2302.01179 (2023) - [i5]Frantisek Nekovár, Jan Faigl, Martin Saska:
Multi-vehicle Dynamic Water Surface Monitoring. CoRR abs/2302.11991 (2023) - 2022
- [j44]Jindriska Deckerová, Jan Faigl, Vít Krátký:
Traveling Salesman Problem with neighborhoods on a sphere in reflectance transformation imaging scenarios. Expert Syst. Appl. 198: 116814 (2022) - [j43]Milos Prágr, Jan Bayer, Jan Faigl:
Autonomous robotic exploration with simultaneous environment and traversability models learning. Frontiers Robotics AI 9 (2022) - [j42]Tomás Roucek, Martin Pecka, Petr Cízek, Tomás Petrícek, Jan Bayer, Vojtech Salanský, Teymur Azayev, Daniel Hert, Matej Petrlík, Tomás Báca, Vojtech Spurný, Vít Krátký, Pavel Petrácek, Dominic Baril, Maxime Vaidis, Vladimír Kubelka, François Pomerleau, Jan Faigl, Karel Zimmermann, Martin Saska, Tomás Svoboda, Tomás Krajník:
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge. Field Robotics 2(1): 1779-1818 (2022) - [j41]Navinda Kottege, Sebastian A. Scherer, Jan Faigl, Ali Akbar Aghamohammadi:
Editorial: Special Issue on Advancements and Lessons Learned during Phases I and II of the DARPA Subterranean Challenge. Field Robotics 2(1): 1947-1950 (2022) - [j40]Rudolf J. Szadkowski, Jan Drchal, Jan Faigl:
Continually trained life-long classification. Neural Comput. Appl. 34(1): 135-152 (2022) - [j39]Doron Pinsky, Petr Vána, Jan Faigl, Oren Salzman:
T*$\boldsymbol{\varepsilon}$ - Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems. IEEE Robotics Autom. Lett. 7(2): 4102-4109 (2022) - [j38]Jan Drchal, Jan Faigl, Petr Vána:
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours With Dubins Vehicle. IEEE Trans. Cybern. 52(2): 1302-1311 (2022) - [c99]Jirí Kubík, Rudolf J. Szadkowski, Jan Faigl:
Learning-based Detection of Leg-Surface Contact using Position Feedback Only. ETFA 2022: 1-4 - [c98]Frantisek Nekovár, Jan Faigl, Martin Saska:
Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning. ETFA 2022: 1-4 - [c97]Jan Feber, Rudolf J. Szadkowski, Jan Faigl:
Gait Adaptation After Leg Amputation of Hexapod Walking Robot Without Sensory Feedback. ICANN (3) 2022: 656-667 - [c96]Milos Prágr, Rudolf J. Szadkowski, Jan Bayer, Josef Zelinka, Jan Faigl:
Terrain Traversal Cost Learning with Knowledge Transfer Between Multi-legged Walking Robot Gaits. ICARSC 2022: 148-153 - [c95]Jakub Sláma, Petr Vána, Jan Faigl:
Generating Safe Corridors Roadmap for Urban Air Mobility. IROS 2022: 11866-11871 - [c94]Josef Zelinka, Milos Prágr, Rudolf J. Szadkowski, Jan Bayer, Jan Faigl:
Deep Transfer Learning of Traversability Assessment for Heterogeneous Robots. ITAT 2022: 12-20 - [c93]Petr Vána, Jan Faigl:
Bounding optimal headings in the Dubins Touring Problem. SAC 2022: 770-773 - [i4]Doron Pinsky, Petr Vána, Jan Faigl, Oren Salzman:
T*ε - Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems. CoRR abs/2204.01673 (2022) - 2021
- [j37]Petr Cízek, Martin Zoula, Jan Faigl:
Design, Construction, and Rough-Terrain Locomotion Control of Novel Hexapod Walking Robot With Four Degrees of Freedom Per Leg. IEEE Access 9: 17866-17881 (2021) - [j36]Rudolf J. Szadkowski, Milos Prágr, Jan Faigl:
Self-Learning Event Mistiming Detector Based on Central Pattern Generator. Frontiers Neurorobotics 15: 629652 (2021) - [j35]Frantisek Nekovár, Jan Faigl, Martin Saska:
Multi-Tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection. IEEE Robotics Autom. Lett. 6(4): 6196-6203 (2021) - [c92]Jakub Sláma, Petr Vána, Jan Faigl:
Risk-aware Trajectory Planning in Urban Environments with Safe Emergency Landing Guarantee. CASE 2021: 1606-1612 - [c91]Jan Bayer, Jan Faigl:
Decentralized Topological Mapping for Multi-robot Autonomous Exploration under Low-Bandwidth Communication. ECMR 2021: 1-7 - [c90]Jáchym Herynek, Petr Vána, Jan Faigl:
Finding 3D Dubins Paths with Pitch Angle Constraint Using Non-linear Optimization. ECMR 2021: 1-6 - [c89]David Valouch, Jan Faigl:
Gait-Free Planning for Hexapod Walking Robot. ECMR 2021: 1-8 - [c88]Kristýna Kucerová, Petr Vána, Jan Faigl:
Variable-Speed Traveling Salesman Problem for Vehicles with Curvature Constrained Trajectories. IROS 2021: 4714-4719 - [c87]Jan Feber, Rudolf J. Szadkowski, Jan Faigl:
Gait Genesis Through Emergent Ordering of RBF Neurons on Central Pattern Generator for Hexapod Walking Robot. ITAT 2021: 114-122 - [c86]Josef Zelinka, Milos Prágr, Rudolf J. Szadkowski, Jan Bayer, Jan Faigl:
Traversability Transfer Learning Between Robots with Different Cost Assessment Policies. MESAS 2021: 333-344 - [i3]Tomás Roucek, Martin Pecka, Petr Cízek, Tomás Petrícek, Jan Bayer, Vojtech Salanský, Teymur Azayev, Daniel Hert, Matej Petrlík, Tomás Báca, Vojtech Spurný, Vít Krátký, Pavel Petrácek, Dominic Baril, Maxime Vaidis, Vladimír Kubelka, François Pomerleau, Jan Faigl, Karel Zimmermann, Martin Saska, Tomás Svoboda, Tomás Krajník:
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge. CoRR abs/2110.05911 (2021) - 2020
- [j34]Petr Vána, Jan Faigl:
Optimal solution of the Generalized Dubins Interval Problem: finding the shortest curvature-constrained path through a set of regions. Auton. Robots 44(7): 1359-1376 (2020) - [j33]Jan Faigl:
Unsupervised learning-based solution of the Close Enough Dubins Orienteering Problem. Neural Comput. Appl. 32(24): 18193-18211 (2020) - [j32]Petr Vána, Jakub Sláma, Jan Faigl:
Surveillance planning with safe emergency landing guarantee for fixed-wing aircraft. Robotics Auton. Syst. 133: 103644 (2020) - [c85]Petr Vána, Armando Alves Neto, Jan Faigl, Douglas G. Macharet:
Minimal 3D Dubins Path with Bounded Curvature and Pitch Angle. ICRA 2020: 8497-8503 - [c84]Rudolf J. Szadkowski, Jan Faigl:
Neurodynamic Sensory-Motor Phase Binding for Multi-Legged Walking Robots. IJCNN 2020: 1-8 - [c83]Jan Faigl, Petr Vána, Jan Drchal:
Fast Sequence Rejection for Multi-Goal Planning with Dubins Vehicle. IROS 2020: 6773-6780 - [c82]Tomás Vintr, Zhi Yan, Kerem Eyisoy, Filip Kubis, Jan Blaha, Jirí Ulrich, Chittaranjan Srinivas Swaminathan, Sergi Molina Mellado, Tomasz Kucner, Martin Magnusson, Grzegorz Cielniak, Jan Faigl, Tom Duckett, Achim J. Lilienthal, Tomás Krajník:
Natural Criteria for Comparison of Pedestrian Flow Forecasting Models. IROS 2020: 11197-11204 - [c81]Jindriska Deckerová, Jan Faigl:
Hopfield Neural Network in Solution of the Close Enough Orienteering Problem. ITAT 2020: 169-175 - [c80]Martin Zoula, Milos Prágr, Jan Faigl:
On Building Communication Maps in Subterranean Environments. MESAS 2020: 15-28 - [c79]Jirí Kubík, Petr Cízek, Rudolf J. Szadkowski, Jan Faigl:
Experimental Leg Inverse Dynamics Learning of Multi-legged Walking Robot. MESAS 2020: 154-168 - [c78]Jan Bayer, Jan Faigl:
Vision-Based Localization for Multi-rotor Aerial Vehicle in Outdoor Scenarios. MESAS 2020: 217-228 - [c77]Petra Stefaníková, Petr Vána, Jan Faigl:
Greedy randomized adaptive search procedure for close enough orienteering problem. SAC 2020: 808-814 - [c76]Kristýna Kucerová, Petr Vana, Jan Faigl:
On finding time-efficient trajectories for fixed-wing aircraft using dubins paths with multiple radii. SAC 2020: 829-831 - [i2]Jan Drchal, Jan Faigl, Petr Vána:
WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours with Dubins vehicle. CoRR abs/2002.00811 (2020)
2010 – 2019
- 2019
- [j31]Robert Penicka, Jan Faigl, Martin Saska, Petr Vána:
Data collection planning with non-zero sensing distance for a budget and curvature constrained unmanned aerial vehicle. Auton. Robots 43(8): 1937-1956 (2019) - [j30]Jan Faigl:
Data collection path planning with spatially correlated measurements using growing self-organizing array. Appl. Soft Comput. 75: 130-147 (2019) - [j29]Robert Penicka, Jan Faigl, Martin Saska:
Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. Eur. J. Oper. Res. 276(3): 816-825 (2019) - [j28]Jan Faigl, Petr Vána, Robert Penicka, Martin Saska:
Unsupervised learning-based flexible framework for surveillance planning with aerial vehicles. J. Field Robotics 36(1): 270-301 (2019) - [j27]Martin Selecký, Jan Faigl, Milan Rollo:
Analysis of Using Mixed Reality Simulations for Incremental Development of Multi-UAV Systems. J. Intell. Robotic Syst. 95(1): 211-227 (2019) - [j26]Jan Faigl, Petr Vana, Jindriska Deckerová:
Fast Heuristics for the 3-D Multi-Goal Path Planning Based on the Generalized Traveling Salesman Problem With Neighborhoods. IEEE Robotics Autom. Lett. 4(3): 2439-2446 (2019) - [j25]Robert Penicka, Jan Faigl, Martin Saska:
Physical Orienteering Problem for Unmanned Aerial Vehicle Data Collection Planning in Environments With Obstacles. IEEE Robotics Autom. Lett. 4(3): 3005-3012 (2019) - [j24]Jan Faigl, Petr Cízek:
Adaptive locomotion control of hexapod walking robot for traversing rough terrains with position feedback only. Robotics Auton. Syst. 116: 136-147 (2019) - [c75]Jan Bayer, Jan Faigl:
On Autonomous Spatial Exploration with Small Hexapod Walking Robot using Tracking Camera Intel RealSense T265. ECMR 2019: 1-6 - [c74]Milos Prágr, Petr Cízek, Jan Faigl:
Traversal Cost Modeling Based on Motion Characterization for Multi-legged Walking Robots. ECMR 2019: 1-6 - [c73]Petr Vána, Jan Faigl, Jakub Sláma:
Emergency Landing Aware Surveillance Planning for Fixed-wing Planes. ECMR 2019: 1-6 - [c72]Rudolf J. Szadkowski, Jan Drchal, Jan Faigl:
Basic Evaluation Scenarios for Incrementally Trained Classifiers. ICANN (2) 2019: 507-517 - [c71]Jan Faigl, Milos Prágr:
On Unsupervised Learning of Traversal Cost and Terrain Types Identification Using Self-organizing Maps. ICANN (1) 2019: 654-668 - [c70]Milos Prágr, Jan Faigl:
Benchmarking Incremental Regressors in Traversal Cost Assessment. ICANN (1) 2019: 685-697 - [c69]Jan Faigl, Petr Vána, Robert Penicka:
Multi-Vehicle Close Enough Orienteering Problem with Bézier Curves for Multi-Rotor Aerial Vehicles. ICRA 2019: 3039-3044 - [c68]Milos Prágr, Petr Vána, Jan Faigl:
Aerial Reconnaissance and Ground Robot Terrain Learning in Traversal Cost Assessment. MESAS 2019: 3-10 - [c67]Milos Prágr, Jan Faigl:
Terrain Learning Using Time Series of Ground Unit Traversal Cost. MESAS 2019: 97-107 - [c66]Jan Bayer, Jan Faigl:
Speeded Up Elevation Map for Exploration of Large-Scale Subterranean Environments. MESAS 2019: 190-202 - [c65]Tomás Roucek, Martin Pecka, Petr Cízek, Tomás Petrícek, Jan Bayer, Vojtech Salanský, Daniel Hert, Matej Petrlík, Tomás Báca, Vojtech Spurný, François Pomerleau, Vladimir Kubelka, Jan Faigl, Karel Zimmermann, Martin Saska, Tomás Svoboda, Tomás Krajník:
DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments. MESAS 2019: 274-290 - [c64]Milos Prágr, Petr Cizek, Jan Bayer, Jan Faigl:
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration. Robotics: Science and Systems 2019 - [c63]Jan Faigl, Milos Prágr:
Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm. WSOM+ 2019: 166-176 - [c62]Rudolf J. Szadkowski, Jan Drchal, Jan Faigl:
Autoencoders Covering Space as a Life-Long Classifier. WSOM+ 2019: 271-281 - 2018
- [j23]Jen Jen Chung, Jan Faigl, Geoffrey A. Hollinger:
Guest editorial: Special issue on online decision making in multi-robot coordination. Auton. Robots 42(4): 687-689 (2018) - [j22]Graeme Best, Jan Faigl, Robert Fitch:
Online planning for multi-robot active perception with self-organising maps. Auton. Robots 42(4): 715-738 (2018) - [j21]Jan Faigl:
GSOA: Growing Self-Organizing Array - Unsupervised learning for the Close-Enough Traveling Salesman Problem and other routing problems. Neurocomputing 312: 120-134 (2018) - [j20]Jan Faigl, Petr Vana:
Surveillance Planning With Bézier Curves. IEEE Robotics Autom. Lett. 3(2): 750-757 (2018) - [j19]Martin Selecký, Jan Faigl, Milan Rollo:
Communication Architecture in Mixed-Reality Simulations of Unmanned Systems. Sensors 18(3): 853 (2018) - [j18]Petr Cizek, Jan Faigl:
Real-Time FPGA-Based Detection of Speeded-Up Robust Features Using Separable Convolution. IEEE Trans. Ind. Informatics 14(3): 1155-1163 (2018) - [j17]Jan Faigl, Geoffrey A. Hollinger:
Autonomous Data Collection Using a Self-Organizing Map. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1703-1715 (2018) - [c61]Rudolf J. Szadkowski, Jan Drchal, Jan Faigl:
Terrain Classification with Crawling Robot Using Long Short-Term Memory Network. ICANN (3) 2018: 771-780 - [c60]Jan Faigl, Jindriska Deckerová:
On Unsupervised Learning based Multi-Goal Path Planning for Visiting 3D Regions. ICRAI 2018: 45-50 - [c59]Milos Prágr, Petr Cízek, Jan Faigl:
Cost of Transport Estimation for Legged Robot Based on Terrain Features Inference from Aerial Scan. IROS 2018: 1745-1750 - [c58]Petr Vana, Jakub Sláma, Jan Faigl, Pavel Paces:
Any-Time Trajectory Planning for Safe Emergency Landing. IROS 2018: 5691-5696 - [c57]Petr Cizek, Jirí Kubík, Jan Faigl:
Online Foot-Strike Detection Using Inertial Measurements for Multi-Legged Walking Robots. IROS 2018: 7622-7627 - [c56]Rudolf J. Szadkowski, Petr Cizek, Jan Faigl:
Learning Central Pattern Generator Network with Back-Propagation Algorithm. ITAT 2018: 116-123 - [c55]Minh Thao Nguyenová, Petr Cízek, Jan Faigl:
Modeling Proprioceptive Sensing for Locomotion Control of Hexapod Walking Robot in Robotic Simulator. MESAS 2018: 215-225 - [c54]Jakub Marek, Petr Vána, Jan Faigl:
Trajectory Planning for Aerial Vehicles in the Area Coverage Problem with Nearby Obstacles. MESAS 2018: 226-236 - [c53]Jan Bayer, Jan Faigl:
Localization Fusion for Aerial Vehicles in Partially GNSS Denied Environments. MESAS 2018: 251-262 - [c52]Milos Prágr, Petr Cízek, Jan Faigl:
Incremental Learning of Traversability Cost for Aerial Reconnaissance Support to Ground Units. MESAS 2018: 412-421 - [c51]Petr Vána, Jan Faigl:
Optimal Solution of the Generalized Dubins Interval Problem. Robotics: Science and Systems 2018 - 2017
- [j16]Martin Saska, Tomás Báca, Justin Thomas, Jan Chudoba, Libor Preucil, Tomás Krajník, Jan Faigl, Giuseppe Loianno, Vijay Kumar:
System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization. Auton. Robots 41(4): 919-944 (2017) - [j15]Michal R. Nowicki, Dominik Belter, Aleksander Kostusiak, Petr Cizek, Jan Faigl, Piotr Skrzypczynski:
An experimental study on feature-based SLAM for multi-legged robots with RGB-D sensors. Ind. Robot 44(4): 428-441 (2017) - [j14]Robert Penicka, Jan Faigl, Petr Vána, Martin Saska:
Dubins Orienteering Problem. IEEE Robotics Autom. Lett. 2(2): 1210-1217 (2017) - [c50]Jan Faigl, Petr Vana, Martin Saska, Tomás Báca, Vojtech Spurný:
On solution of the Dubins touring problem. ECMR 2017: 1-6 - [c49]Petr Vana, Jan Faigl, Jakub Sláma, Robert Penicka:
Data collection planning with Dubins airplane model and limited travel budget. ECMR 2017: 1-6 - [c48]Petr Cizek, Pavel Milicka, Jan Faigl:
Neural based obstacle avoidance with CPG controlled hexapod walking robot. IJCNN 2017: 650-656 - [c47]Jan Faigl:
On self-organizing maps for orienteering problems. IJCNN 2017: 2611-2620 - [c46]Jan Faigl, Petr Vana:
Unsupervised learning for surveillance planning with team of aerial vehicles. IJCNN 2017: 4340-4347 - [c45]Petr Cizek, Diar Masri, Jan Faigl:
Foothold placement planning with a hexapod crawling robot. IROS 2017: 4096-4101 - [c44]Jan Faigl, Robert Penicka:
On close enough orienteering problem with Dubins vehicle. IROS 2017: 5646-5652 - [c43]Petr Cízek, Jan Faigl, Jan Bayer:
Enhancing Neural Based Obstacle Avoidance with CPG Controlled Hexapod Walking Robot. ITAT 2017: 65-70 - [c42]Jan Faigl:
Self-organizing map for orienteering problem with dubins vehicle. WSOM 2017: 125-132 - [i1]Tomás Krajník, Filip Majer, Lucie Halodova, Jan Bayer, Tomas Vintr, Jan Faigl:
Navigation without localisation: reliable teach and repeat based on the convergence theorem. CoRR abs/1711.05348 (2017) - 2016
- [j13]Jan Faigl:
An Application of Self-Organizing Map for Multirobot Multigoal Path Planning with Minmax Objective. Comput. Intell. Neurosci. 2016: 2720630:1-2720630:15 (2016) - [c41]Jan Faigl, Petr Vána:
Self-Organizing Map for the Curvature-Constrained Traveling Salesman Problem. ICANN (2) 2016: 497-505 - [c40]Petr Cizek, Jan Faigl, Diar Masri:
Low-latency image processing for vision-based navigation systems. ICRA 2016: 781-786 - [c39]Premysl Kafka, Jan Faigl, Petr Vana:
Random Inspection Tree Algorithm in visual inspection with a realistic sensing model and differential constraints. ICRA 2016: 2782-2787 - [c38]Martin Stejskal, Jakub Mrva, Jan Faigl:
Road following with blind crawling robot. ICRA 2016: 3612-3617 - [c37]Thomas Fischer, Taihú Pire, Petr Cizek, Pablo de Cristóforis, Jan Faigl:
Stereo vision-based localization for hexapod walking robots operating in rough terrains. IROS 2016: 2492-2497 - [c36]Graeme Best, Jan Faigl, Robert Fitch:
Multi-robot path planning for budgeted active perception with self-organising maps. IROS 2016: 3164-3171 - [c35]Pavel Milicka, Petr Cizek, Jan Faigl:
On Chaotic Oscillator-Based Central Pattern Generator for Motion Control of Hexapod Walking Robot. ITAT 2016: 131-137 - [c34]Jan Faigl, Robert Penicka, Graeme Best:
Self-organizing map-based solution for the Orienteering problem with neighborhoods. SMC 2016: 1315-1321 - [c33]Petr Cizek, Jan Faigl:
On localization and mapping with RGB-D sensor and hexapod walking robot in rough terrains. SMC 2016: 2273-2278 - [c32]Jan Faigl, Petr Vana:
Self-Organizing Map for data collection planning in persistent monitoring with spatial correlations. SMC 2016: 3264-3269 - [c31]Vojtech Vonásek, Jan Faigl:
Evolution of multiple gaits for modular robots. SSCI 2016: 1-8 - [c30]Jan Faigl:
On Self-Organizing Map and Rapidly-Exploring Random Graph in Multi-Goal Planning. WSOM 2016: 143-153 - 2015
- [j12]Alejandro Vázquez-Otero, Jan Faigl, Raquel Dormido, Natividad Duro:
Reaction Diffusion Voronoi Diagrams: From Sensors Data to Computing. Sensors 15(6): 12736-12764 (2015) - [c29]Jan Faigl, Miroslav Kulich:
On benchmarking of frontier-based multi-robot exploration strategies. ECMR 2015: 1-8 - [c28]Petr Vana, Jan Faigl:
On the Dubins Traveling Salesman Problem with Neighborhoods. IROS 2015: 4029-4034 - [c27]Jakub Mrva, Jan Faigl:
Feature Extraction for Terrain Classification with Crawling Robots. ITAT 2015: 179-185 - [c26]Jakub Mrva, Jan Faigl:
Tactile sensing with servo drives feedback only for blind hexapod walking robot. RoMoCo 2015: 240-245 - 2014
- [j11]Alejandro Vázquez-Otero, Jan Faigl, Natividad Duro, Raquel Dormido:
Reaction-Diffusion based Computational Model for Autonomous Mobile Robot Exploration of Unknown Environments. Int. J. Unconv. Comput. 10(4): 295-316 (2014) - [j10]Tomás Krajník, Matías Alejandro Nitsche, Jan Faigl, Petr Vanek, Martin Saska, Libor Preucil, Tom Duckett, Marta Mejail:
A Practical Multirobot Localization System. J. Intell. Robotic Syst. 76(3-4): 539-562 (2014) - [c25]Jan Faigl, Peter Vanìk, Miroslav Kulich:
Self-organizing map for determination of goal candidates in mobile robot exploration. ESANN 2014 - [c24]Jan Faigl, Olivier Simonin, François Charpillet:
Comparison of Task-Allocation Algorithms in Frontier-Based Multi-robot Exploration. EUMAS 2014: 101-110 - [c23]Petr Vanek, Jan Faigl, Diar Masri:
Multi-goal Trajectory Planning with Motion Primitives for Hexapod Walking Robot. ICINCO (2) 2014: 599-604 - [c22]Jan Faigl, Geoffrey A. Hollinger:
Unifying multi-goal path planning for autonomous data collection. IROS 2014: 2937-2942 - [c21]Jan Faigl, Geoffrey A. Hollinger:
Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem. WSOM 2014: 281-291 - 2013
- [j9]Daniel Fiser, Jan Faigl, Miroslav Kulich:
Growing neural gas efficiently. Neurocomputing 104: 72-82 (2013) - [j8]Jan Faigl, Vojtech Vonásek, Libor Preucil:
Visiting convex regions in a polygonal map. Robotics Auton. Syst. 61(10): 1070-1083 (2013) - [j7]Miroslav Kulich, Jan Chudoba, Karel Kosnar, Tomás Krajník, Jan Faigl, Libor Preucil:
SyRoTek - Distance Teaching of Mobile Robotics. IEEE Trans. Educ. 56(1): 18-23 (2013) - [c20]Jan Faigl, Miroslav Kulich:
On determination of goal candidates in frontier-based multi-robot exploration. ECMR 2013: 210-215 - [c19]Tomás Krajník, Matías Nitsche, Jan Faigl, Tom Duckett, Marta Mejail, Libor Preucil:
External localization system for mobile robotics. ICAR 2013: 1-6 - [c18]Jan Faigl, Tomás Krajník, Jan Chudoba, Libor Preucil, Martin Saska:
Low-cost embedded system for relative localization in robotic swarms. ICRA 2013: 993-998 - [c17]Petr Janousek, Jan Faigl:
Speeding up coverage queries in 3D multi-goal path planning. ICRA 2013: 5082-5087 - [c16]Jirí Vokrínek, Pavel Janovsky, Jan Faigl, Petr Benda, Fabio Tango, Daniele Pinotti:
A cooperative driver model for traffic simulations. INDIN 2013: 756-761 - [c15]Michal Cáp, Peter Novák, Martin Selecký, Jan Faigl, Jiff Vokffnek:
Asynchronous decentralized prioritized planning for coordination in multi-robot system. IROS 2013: 3822-3829 - 2012
- [c14]Jan Faigl, Tomás Krajník, Vojtech Vonásek, Libor Preucil:
On localization uncertainty in an autonomous inspection. ICRA 2012: 1119-1124 - [c13]Alejandro Vázquez-Otero, Jan Faigl, Alberto P. Muñuzuri:
Path planning based on reaction-diffusion process. IROS 2012: 896-901 - [c12]Jan Faigl, Miroslav Kulich, Libor Preucil:
Goal assignment using distance cost in multi-robot exploration. IROS 2012: 3741-3746 - [c11]Martin Saska, Tomás Krajník, Jan Faigl, Vojtech Vonásek, Libor Preucil:
Low cost MAV platform AR-drone in experimental verifications of methods for vision based autonomous navigation. IROS 2012: 4808-4809 - 2011
- [j6]Jan Faigl, Libor Preucil:
Inspection planning in the polygonal domain by Self-Organizing Map. Appl. Soft Comput. 11(8): 5028-5041 (2011) - [j5]Jan Faigl, Miroslav Kulich, Vojtech Vonásek, Libor Preucil:
An application of the self-organizing map in the non-Euclidean Traveling Salesman Problem. Neurocomputing 74(5): 671-679 (2011) - [j4]Jan Faigl:
On the performance of self-organizing maps for the non-Euclidean Traveling Salesman Problem in the polygonal domain. Inf. Sci. 181(19): 4214-4229 (2011) - [j3]Jan Faigl, Miroslav Kulich, Libor Preucil:
A Sensor Placement Algorithm for a Mobile Robot Inspection Planning. J. Intell. Robotic Syst. 62(3-4): 329-353 (2011) - [c10]Jan Chudoba, Jan Faigl, Miroslav Kulich, Tomás Krajník, Karel Kosnar, Libor Preucil:
A Technical Solution of a Robotic e-Learning System in the SyRoTek Project. CSEDU (1) 2011: 412-417 - [c9]Jan Faigl, Vojtech Vonásek, Libor Preucil:
A Multi-Goal Path Planning for Goal Regions in the Polygonal Domain. ECMR 2011: 171-176 - [c8]Vojtech Vonásek, Jan Faigl, Tomás Krajník, Libor Preucil:
A Sampling Schema for Rapidly Exploring Random Trees using a Guiding Path. ECMR 2011: 201-206 - [c7]Jan Faigl, Jan Macák:
Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions. ESANN 2011 - [c6]Tomás Krajník, Vojtech Vonásek, Daniel Fiser, Jan Faigl:
AR-Drone as a Platform for Robotic Research and Education. Eurobot Conference 2011: 172-186 - [c5]Jan Faigl, Libor Preucil:
Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals. ICANN (1) 2011: 85-92 - [c4]Miroslav Kulich, Jan Faigl, Libor Preucil:
On distance utility in the exploration task. ICRA 2011: 4455-4460 - 2010
- [j2]Tomás Krajník, Jan Faigl, Vojtech Vonásek, Karel Kosnar, Miroslav Kulich, Libor Preucil:
Simple yet stable bearing-only navigation. J. Field Robotics 27(5): 511-533 (2010) - [j1]Jan Faigl:
Approximate solution of the multiple watchman routes problem with restricted visibility range. IEEE Trans. Neural Networks 21(10): 1668-1679 (2010) - [c3]Lenka Mudrová, Jan Faigl, Jaroslav Halgasík, Tomás Krajník:
Estimation of Mobile Robot Pose from Optical Mouses. Eurobot Conference 2010: 93-107
2000 – 2009
- 2009
- [c2]Miroslav Kulich, Jan Faigl, Karel Kosnar, Libor Preucil, Jan Chudoba:
SyRoTek - On an e-Learning System for Mobile Robotics and Artificial Intelligence. ICAART 2009: 275-280 - 2006
- [c1]Jirí Kubalík, Jan Faigl:
Iterative Prototype Optimisation with Evolved Improvement Steps. EuroGP 2006: 154-165
Coauthor Index
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