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Course: 2025/2026

Robotics

(19036)

Master in Computer Science and Technology (Plan: 462 - Estudio: 71)

EPI

Coordinating teacher: CASTILLO MONTOYA, JOSE CARLOS

Department assigned to the subject: Systems Engineering and Automation Department

Type: Electives

ECTS Credits: 6.0 ECTS

Course: 1º

Semester: 1º

Requirements (Subjects that are assumed to be known)

Programming skills are recommended.

Objectives

Upon successful completion of this course, students will be able to: - Understand the factors that differentiate a robot from other autonomous systems. - Understand the main types of perception and sensor systems integrated in robots. - Understand the main types of actuation and control systems integrated in robots. - Solve navigation problems of mobile robots. - Know the main processing technologies in robotics and their characteristics (e.g. microcontroller families, SBC, ...). - Apply their knowledge to improve robot interaction systems. - Apply their knowledge to design decision-making systems with or without machine learning.

Description of contents: programme

1. Introduction to robotics 1.1. History of robotics 1.2. What is a robot? 1.3. Classification and types of robots 1.4. Fundamental elements of robots 2. Perception in robotics 2.1. Sensors 2.2. Data processing in robotics 2.3. Computer vision in robotics 2.4. Speech recognition 2.5. Sensory fusion 3. Actuation in robotics 3.1. Actuators 3.2. Control (P, PI, PID) 3.3. Kinematics 4. Navigation 4.1. Types of navigation 4.2. Localisation 4.3. Mapping Methods 4.4. SLAM 5. Processing elements 5.1. Microcontrollers 5.2. Processors 5.3. Robotics Massive Data Processing (GPUs) 5.4. OS in robotics 6. Decision-making in robotics 6.1. Decision-making architectures 6.2. Learning 7. Human-Robot Interaction 7.1. Dialogue management 7.2. Multimodal communication 7.3. Artificial Emotions 8. Novel applications 8.1. Robotics in health 8.2. Robotics in industry 8.3. Robotics in education 8.4. Cloud robotics 8.5. Other applications

Learning activities and methodology

Learning activities and methodology: · Theoretical lessons and doubts solving sessions, tutorial support sessions and student personal work; this is aimed at the acquisition of theoretical knowledge. · Practical sessions, tutorial support sessions and student personal work; this is aimed at the acquisition of practical abilities.

Assessment System

% end-of-term-examination 0
% of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment

- Continuous assessment: 100%.
        o Partial 1 (30%, if passed the content will be removed for the final exam).
         o Midterm 2 (30%, if passed the content is removed for the final exam)   
         o Final practical project: 30%.
         o Class participation: 10%.

- Final exam
         o 0%: if the student follows the continuous assessment, this exam will be taken only with the part(s) not passed in the midterm(s).
         o 100%: if the student has not followed the continuous assessment, he/she will sit the final exam with all the content and the final mark will be worth 60% of the mark obtained.

- Extraordinary exam: 100% with all the content.

Basic Bibliography

Barrientos, A. ., & Balaguer Bernaldo de Quirós, C.. Fundamentos de robótica (2ª ed.). McGraw-Hill Interamericana. 2007
Craig, J. J. . Robótica (3ª ed.). Pearson Educación. 2006
Mataric, M. J.. The robotics primer.. The MIT Press.. 2007
Siciliano, B., & Khatib, O.. Springer Handbook of Robotics (2nd ed. 2016.). Springer. 2016

Electronic Resources *

· Web de ROS : https://www.ros.org
· Documentación de Webots : https://cyberbotics.com/doc/guide/index
· A gentle introduction to ROS : http:// https://cse.sc.edu/~jokane/agitr/agitr-letter.pdf

Additional Bibliography

Kajita, Shuuji, Hirukawa, Hirohisa, Harada, Kensuke, & Yokoi, Kazuhito.. Introduction to Humanoid Robotics (2014th ed., Vol. 101). Springer Berlin Heidelberg. 2014
Mihelj, Bajd, Ude, Lenar¿i¿, Stanovnik, Munih, Rejc, ¿lajpah, Bajd, Tadej, Ude, Ale¿, Lenar¿i¿, Jadran, Stanovnik, Ale¿, Munih, Marko, Rejc, Jure, & ¿lajpah, Sebastjan. Robotics (2nd ed. 2019.). Springer. 2019
Roland Siegwart, Illah Reza Nourbakhsh and Davide Scaramuzza. Introduction to autonomous mobile robots. MIT Press.. 2011

Electronic Resources *

· ROS by examples v2 Índigo : http://file.ncnynl.com/ros/ros_by_example_v2_indigo.pdf

(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN

The course syllabus may change due academic events or other reasons.