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-307)	Instructor
#1	39.	25. 09. - Lab01 - Introduction to CoppeliaSim and Open-Loop Robot Locomotion Control	Jiří Kubík/David Valouch/Miloš Prágr
#2	40.	02. 10. - Lab02 - Exteroceptive sensing and Reactive-based Obstacle Avoidance	Jiří Kubík/David Valouch/Miloš Prágr
#3	41.	09. 10. - Lab03 - Grid and Graph-based Path Planning	Jiří Kubík/David Valouch/Miloš Prágr
#4	42.	16. 10. - Lab04 - Mapping	Jiří Kubík/David Valouch/Miloš Prágr
#5	43.	23. 10. - Lab05 - Mobile Robot Exploration	Jiří Kubík/David Valouch/Miloš Prágr
#6	44.	30. 10. - Lab06 - Incremental Path Planning	Jiří Kubík/David Valouch/Miloš Prágr
#7	45.	06. 11. - Lab07 - Data Collection Path Planning with Remote Sensing (TSPN)	Jiří Kubík/David Valouch/Miloš Prágr
#8	46.	13. 11. - Lab08 - Curvature-constrained Data Collection Path Planning (DTSPN)	Jiří Kubík/David Valouch/Miloš Prágr
#9	47.	20. 11. - Deans's day
#10	48.	27. 11. - Lab09 - Randomized Sampling-based Algorithms	Jiří Kubík/David Valouch/Miloš Prágr
#11	49.	04. 12. - Lab10 - Curvature-constrained Local Planning with RRT-based algorithms	Jiří Kubík/David Valouch/Miloš Prágr
#12	50.	11. 12. - Lab11 - Pursuit Evasion - Adversarial Path Planning	David Milec
#13	51.	18. 12. - Lab12 - Pursuit Evasion - Greedy Policy & Value Iteration Policy	David Milec
	52.	25. 12. - Winter holidays (19.12. - 8.1.)
	01.	01. 01. - Winter holidays (19.12. - 8.1.)
#14	02.	08. 01. - Lab13 - Semetral Project Discussion	Jiří Kubík/David Valouch/Miloš Prágr
14. 01. @ 23:59 PST - Ungraded Assessment Deadline!