Knowledge-Based Systems Group

Lecture - Introduction to Artificial Intelligence WS 2017/2018

See Campus for announcements for

• Lecture and tutorial
• First Exam
• Second Exam

Note:

• To access the L2P room, you need to register for the course in Campus (“Zum klassischen Anmeldeverfahren”). There we publish slides, announcements, etc.
• To take the exam, you need to do the modular registration process which closes 10 November.

Contents

Topics covered in the course

Lab Course: Robust Planning and Execution for Logistics Robots

Developing agents for such robotic tasks poses diverse problems to solve: acting rationally under hard real-time constraints, agent-to-agent communication, multi-robot cooperation, and task-level reasoning.

The goal of this lab course is to model the RCLL scenario and integrate a task planning system based using existing planning tools and frameworks. A common modelling language is the Planning Domain Definition Language (PDDL). It has several variants and fragments with varying expressiveness and complexity. Typical fragments are STRIPS or ADL, and for the RCLL relevant is its temporal extension. Assessing and choosing an appropriate modeling subset and tool support is important to a successful integration.