Foundations of AI and ML
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Automated Planning: Other Planning Formalisms
Other Planning Formalisms
Lecture slides are available here.
Planning Formalisms
What statements are true?
Mars Rover Example
Rovers operating on other planets must be autonomous because signals from Earth to planets deep in our solar system take too long.
We model a rover planning task with the following specification. There are multiple locations on the planet, some of which are connected. The rover can navigate between two locations A and B if A and B are connected.
Read and execute the following problem, where we have two locations A and B, the rover can move from A to B (but not the other way around), the rover starts at A, the goal is to move to B, and we do not need to visit any other locations.
This exercise is based on the Unified Planning framework. When referring to the documentation, please be aware that, for technical reasons, we are using version 0.6 of the library, which differs in certain aspects from the documentation.
Mars Rover Extension
Add three more locations “C”, “D”, and “E” with the connections: A => B, B => C, C => D, D => E, E => A. The goal of the rover is to return to where it came from, which is location A. Also, the goal should be that the rover has visited all locations (extend the list of goal_visited with all locations).
This webpage contains the course materials for the course TDDE56 Foundations of AI and Machine Learning.
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