Labs

Attendance is mandatory. Laboratory exercises mainly servers to acquire practical experience of the applied AI techniques in the selected robotic tasks.

The aim of the exercise is to apply the topics explained during the lectures in practical deployment in solving selected robotic problems. In the exercises, students shall develop software to control mobile robots using the algorithms and existing implementations and software libraries.

Exercises at glance

#TWeek Week Monday (Room No. KN:E-328 @12:45 and @16:15. Room No. KN:E-310 @14:30.) Instructor
#1 39. 23. 09. - Lab01 - Introduction to CoppeliaSim and Open-Loop Robot Locomotion Control Miloš Prágr
#2 40. 30. 09. - Lab02 - Exteroceptive sensing and Reactive-based Obstacle Avoidance Miloš Prágr
#3 41. 07. 10. - Lab03 - Grid and Graph-based Path Planning Jiří Kubík
#4 42. 14. 10. - Lab04 - Mapping Jiří Kubík
#5 43. 21. 10. - Lab05 - Mobile Robot Exploration Jáchym Herynek
#6 44. 28. 10. - Independent Czechoslovak State Day
#7 45. 04. 11. - Lab06 - Incremental Path Planning Jáchym Herynek
#8 46. 11. 11. - Lab07 - Data Collection Path Planning with Remote Sensing (TSPN) Jáchym Herynek
#9 47. 18. 11. - Lab08 - Curvature-constrained Data Collection Path Planning (DTSPN) Jáchym Herynek
#10 48. 25. 11. - Lab09 - Randomized Sampling-based Algorithms Jáchym Herynek
#11 49. 02. 12. - Lab10 - Curvature-constrained Local Planning with RRT-based algorithms Jakub Sláma
#12 50. 09. 12. - Lab11 - Risk-aware Planning Jakub Sláma
#13 51. 16. 12. - Lab12 - Reinforcement Learning with an Inchworm Robot Jiří Kubík
52. 23. 12. - Winter holidays (23.12. - 5.1.)
01. 30. 12. - Winter holidays (23.12. - 5.1.)
#14 02. 06. 01. - Lab13 - Semetral Project Discussion Miloš Prágr
11. 01. @ 23:59 PST - Ungraded Assessment Deadline!
courses/uir/labs/start.txt · Last modified: 2024/09/30 15:37 by pragrmi1