Publications

• 2024

  PARÁK, R.; KŮDELA, J.; MATOUŠEK, R.; JUŘÍČEK, M. Deep-Reinforcement-Learning-Based Motion Planning for a Wide Range of Robotic Structures. Computation, 2024, vol. 12, no. 6, p. 116 ( p.)ISSN: 2079-3197.
  Detail | WWW | Full text in the Digital Library

• 2023

  KŮDELA, J.; JUŘÍČEK, M.; PARÁK, R. A collection of robotics problems for benchmarking evolutionary computation methods. In 26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023. Lecture Notes in Computer Science. Cham: Springer, 2023. p. 364-379. ISBN: 978-3-031-30229-9. ISSN: 0302-9743.
  Detail

  JUŘÍČEK, M.; PARÁK, R.; KŮDELA, J. Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. Computation, 2023, vol. 11, no. 12, p. 1-23. ISSN: 2079-3197.
  Detail | WWW | Full text in the Digital Library

• 2022

  PARÁK, R.; JUŘÍČEK, M. Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm. Mendel Journal series, 2022, vol. 28, no. 1, p. 32-40. ISSN: 1803-3814.
  Detail | WWW

• 2021

  PARÁK, R.; MATOUŠEK, R. Comparison of Multiple Reinforcement Learning and Deep Reinforcement Learning Methods for the Task Aimed at Achieving the Goal. Mendel Journal series, 2021, vol. 27, no. 1, p. 1-8. ISSN: 1803-3814.
  Detail | WWW

  PARÁK, R.; MATOUŠEK, R.; LACKO, B. I4C – Robotická buňka podle konceptu Průmyslu 4.0. Automa, 2021, vol. 27, no. 1, p. 10-12. ISSN: 1210-9592.
  Detail | WWW

*) Publications are generated once a 24 hours.