AI424
MOTION PLANNING
- Course Code
- AI424
- Semester
- -
- Theory+Practice
- 3 + 0
- ECTS
- 5
| Course Type | Elective Course |
|---|---|
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 5 |
| Name of Lecturer(s) | - |
| Learning Outcomes |
At the end of this course, the students; |
| Mode of Delivery | |
| Prerequisites | No |
| Recommended Optional Programme Components | |
| Course Description | A unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning. |
| Course Contents | |
| Recommended or Required Reading | * Steven LaValle, Planning Algorithms, 2006. |
| Planned Learning Activities and Teaching Methods | |
| Assessment Methods and Criteria | |
| Language of Instruction | - |
| Work Placement(s) | No |