Double Qualification in Engineering Studies in Telematics and Computer Science

Double Degree in Engineering Studies in Telematics and Computer Science

Receive training to become an expert engineer in Network and Internet Technologies and get the CCNA and CCNP official qualifications

Artificial Intelligence Applied to Robotic

Description
In this subject we will introduce the basic concepts of artificial intelligence and we will point out what role artificial intelligence could play in robotics. We will understand that a robot to be able to act intelligently would need to understand the environment, know how to adapt (learn), solve problems, plan, make decisions and act. Thus, the course will focus on the fundamental pillars of Artificial Intelligence in order to advance towards the path of designing intelligent robots in the next course.
Type Subject
Optativa
Semester
Second
Credits
3.00
Previous Knowledge

The subject of Navigation is recommended. Programming knowledge

Objectives

The objective of this subject is to lay the foundations of artificial intelligence for application to robotics:
- To learn the main search algorithms to solve problems. Regarding the quality of the solution and computational requirements (time and memory)
- To learn and apply the basic methods of machine learning.
- To expand concepts in the field of AI related to robotics.
- A practical application.

Contents

The detail of the agenda and the specific order in which the different concepts will be addressed within each chapter will be described in class.

1. Introduction. What is Artificial Intelligence?
2. Search. Problem resolution
3. Machine learning
4. Project

Methodology

Master classes, exercises, practices, debates.

Evaluation

Continuous evaluation from exercises, presentations, a work and a project.

Evaluation Criteria

This subject will have a continuous evaluation as follows:

FINAL NOTE = 30% Exercises + 30% Work + 40% Project; all parts> = 5

Based on your answer regarding continuous assessment, we reserve the possibility of evaluating the theoretical part with two exams: one during the midterm week and the other during the exam period. It will be decided throughout the first month of sessions.

Basic Bibliography

The materials provided in the course of the subject.

Additional Material

• R. Murphy (2000). “Introduction to AI Robotics”. MIT Press
• D. Floreano & C. Mattiussi (2008). “Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics & Autonomous Agents Series)”. Intelligent Robotics and Auton. ISBN-10: 0262062712 / ISBN-13: 978-0262062718.
• D. Jefferis. “Artificial Intelligence: Robotics and Machine Evolution”. Crabtree Pub Co (1750)
• M. Ginsberg. "Essentials of Artificial Intelligence". Morgan Kaufmann Publishers (1993); others versions
• E. Golobardes and A. Orriols. "Intel·ligència artificial. Guia d'estudi". Creative Commons Deed (2008)
• N.J. Nilsson. "Artificial Intelligence: A New Syntesis". Morgan Kaufmann Publishers, Inc. (1998); buscar versions posteriors
• E. Rich and K. Knight. "Inteligencia Artificial". McGrawHill
• S. Russell and P. Norvig. "Artificial Intelligence. A Modern Approach". Prentice Hall International Editions; last version