Slides from all lectures in one file

Introduction to Artificial Intelligence. Search and metaheuristics: concepts, introduction to single-solution based metaheuristics.

Single-solution based metaheuristics.

Formalization of planning problems, representations. State space planning: forward search.

State space planning: backward search. Probability theory (short revision). Bayesian networks.

Exact and approximate inference. Time and uncertainty.

Utility theory, decision networks. Sequential decision problems.

Value and policy iteration. Robots, robotic perception. Planning: configuration space.

Robotics: motion planning and control

Exercises with solutions