Lecture 'Mobile Robots'

Course dates

All lecture and exercise dates.

Slides

Die Anfänge / Automatisches Planen
Moravecs Paradoxon und Roboterkontrollarchitekturen
Reinforcement Learning
Imitationslernen
Offene Probleme und wichtige Begriffe
Pictures

Exercises

1. STRIPS Planning (solution)
2. Braitenberg vehicles (solution)
3. Novelty detection (solution) (video)
4. Robot navigation WITH a map (example solution with the Wavefront algorithm) (video)
5. Robot localization WITH a map (solution with a Scan-Match approach)
6. Reinforcement Learning with your ideas (solution)
7. Value iteration (solution)
8. Q-Learning (solution)
9. Imitation Learning (solution)
10. An example of a cognitive architecture

Here are some links to helpful resources:
RL = Reinforcement Learning
LfD = Learning from Demonstrations / Imitation-Learning
Pr = Problems to build robots
KR = Knowledge Representation
CS = Cognitive Science