Advanced AI Techniques - Exercises
| Exercise Sheet | Handed Out | Due |
|---|---|---|
| Exercise 1: PDF, Postscript | Thu, Oct 26 | Thu, Nov 02 |
| Exercise 2: PDF, Postscript | Tue, Nov 07 | Tue, Nov 14 |
| Exercise 3: PDF, Postscript | Tue, Nov 14 | Tue, Nov 21 |
| Exercise 4: PDF, Postscript | Tue, Nov 21 | Tue, Nov 28 |
| Exercise 5: PDF, Postscript | Tue, Nov 28 | Tue, Dez 05 |
| Exercise 6: PDF, Postscript | Tue, Dez 05 | Tue, Dez 12 |
| Exercise 7: PDF, Postscript | Tue, Dez 12 | Tue, Dez 19 |
| Exercise 8: PDF, Postscript | Tue, Dez 19 | Tue, Jan 09 |
| Exercise 9: PDF, Postscript | Tue, Jan 09 | Tue, Jan 16 |
| Exercise 10: PDF, Postscript | Tue, Jan 16 | Tue, Jan 23 |
| Exercise 11: PDF, Postscript | Tue, Jan 23 | Tue, Jan 30 |
| Exercise 12: PDF, Postscript | Tue, Jan 30 | Tue, Feb 6 |
| Exercise 13: PDF, Postscript | Tue, Feb 6 | Tue, Feb 13 |
For exercise 4, you may want to use the c function code for generating a normal Gauss distribution.
Solution of exercise 3.2.
Additional information to exercise 11.3: After performing the action the odometry measurement is 1 meter. Robot motion is modeled as the probability of the actually moved distance given the odometry measurement.