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Prágr, Miloš
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1

On Autonomous Mobile Robot Exploration Projects in Robotics..:

, In: Robotics in Education; Lecture Notes in Networks and Systems,
Faigl, Jan ; Prágr, Miloš ; Kubík, Jiří - p. 3-15 , 2023
Link: https://doi.org/10.1007/..
 
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2

Autonomous robotic exploration with simultaneous environmen..:

Prágr, Miloš ; Bayer, Jan ; Faigl, Jan
Frontiers in Robotics and AI.  9 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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3

Traversability Transfer Learning Between Robots with Differ..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,
Zelinka, Josef ; Prágr, Miloš ; Szadkowski, Rudolf.. - p. 333-344 , 2022
Link: https://doi.org/10.1007/..
 
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4

Autonomous exploration with online learning of traversable ..:

Prágr, Miloš ; Bayer, Jan ; Faigl, Jan
Autonomous Robots.  47 (2022)  2 - p. 161-180 , 2022
Link: https://doi.org/10.1007/..
 
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5

On Building Communication Maps in Subterranean Environments:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,
Zoula, Martin ; Prágr, Miloš ; Faigl, Jan - p. 15-28 , 2021
Link: https://doi.org/10.1007/..
 
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6

Self-Learning Event Mistiming Detector Based on Central Pat..:

Szadkowski, Rudolf ; Prágr, Miloš ; Faigl, Jan
Frontiers in Neurorobotics.  15 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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7

Terrain Learning Using Time Series of Ground Unit Traversal..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,
Prágr, Miloš ; Faigl, Jan - p. 97-107 , 2020
Link: https://doi.org/10.1007/..
 
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8

Transfer of Inter-Robotic Inductive Classifier:

, In: 2020 4th International Conference on Automation, Control and Robots (ICACR),
Szadkowski, Rudolf ; Pragr, Milos ; Faigl, Jan - p. 32-36 , 2020
Link: https://doi.org/10.1109/..
 
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9

Aerial Reconnaissance and Ground Robot Terrain Learning in ..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,
Prágr, Miloš ; Váňa, Petr ; Faigl, Jan - p. 3-10 , 2020
Link: https://doi.org/10.1007/..
 
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10

On Unsupervised Learning of Traversal Cost and Terrain Type..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation; Lecture Notes in Computer Science,
Faigl, Jan ; Prágr, Miloš - p. 654-668 , 2019
Link: https://doi.org/10.1007/..
 
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11

Traversal Cost Modeling Based on Motion Characterization fo..:

, In: 2019 European Conference on Mobile Robots (ECMR),
Pragr, Milos ; Cizek, Petr ; Faigl, Jan - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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12

Incremental Learning of Traversability Cost for Aerial Reco..:

, In: Modelling and Simulation for Autonomous Systems; Lecture Notes in Computer Science,
Prágr, Miloš ; Čížek, Petr ; Faigl, Jan - p. 412-421 , 2019
Link: https://doi.org/10.1007/..
 
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13

Benchmarking Incremental Regressors in Traversal Cost Asses..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation; Lecture Notes in Computer Science,
Prágr, Miloš ; Faigl, Jan - p. 685-697 , 2019
Link: https://doi.org/10.1007/..
 
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14

Incremental Traversability Assessment Learning Using Growin..:

, In: Advances in Intelligent Systems and Computing; Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization,
Faigl, Jan ; Prágr, Miloš - p. 166-176 , 2019
Link: https://doi.org/10.1007/..
 
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15

Autonomous robotic exploration with simultaneous environmen..:

Prágr, Miloš ; Bayer, Jan ; Faigl, Jan
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581159/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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