Degree in Electronic Engineering in Communications + Degree in Engineering in ICT Management

Double Degree in Electronic Engineering in Communications and Degree in Engineering in ICT Management

La Salle Campus Barcelona offers 5 double degree programs in the fields of ICT Engineering and Business Management. With the double degrees, you can complete your university studies in 5 academic years and obtain two official degree qualifications

Artificial Intelligence Applied to Robotics

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Description
This course will introduce the principles of Artificial Intelligence. We will understand what a robot needs to understand the environment, adapt (learn), solve problems, plan, make decisions and act to behave intelligent. The course will focus on the fundamental pillars of Artificial Intelligence to move forward on the path of designing intelligent robots in the following academic year
Type Subject
Optativa
Semester
Second
Credits
3.00

Titular Professors

Agustí Padrós Rios
Previous Knowledge

It is highly recommended to have previously taken the following three subjects:

• Programming Methodology and Technology
• Object-Oriented Design and Programming
• Introduction to Robotics

Objectives

The objective of this subject is to lay the foundations of artificial intelligence for application to robotics:

• Understand the scope of Artificial Intelligence and its application in robotics.
• Understand the computational cost and solutions quality of the different search algorithms.
• Understand basic Machine Learning methods.
• Understand how Deep Learning models work and learn how to create a neural network from scratch.
• Discover the basics of Generative AI.
• Achieve analysis techniques, interpretability and data processing to use algorithms.

Contents

0. Presentation
1. Introduction, ethics and legality
2. Search problems
3. Machine Learning: clustering
4. Machine Learning: classification
5. Machine Learning: Regressions
6. Image processing
7. Neural Networks MLP
8. Neural Networks CNN
9. Generative Artificial Intelligence and AI Agents

Methodology

Master classes, exercises, practices, debates.

Evaluation

Continuous evaluation from exercises, presentations and a project.

Evaluation Criteria

This subject will have a continuous assessment as follows:

FINAL GRADE = 20%·AC1 + 20%·AC2 + 20%·AC3 + 40%·Project; all parts >= 5

Basic Bibliography

The materials provided in the course of the subject.

Additional Material

• 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);
• 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);
• E. Rich and K. Knight. "Inteligencia Artificial". McGrawHill;
• S. Russell and P. Norvig. "Artificial Intelligence. A Modern Approach". Prentice Hall International Editions;