Checking date: 20/05/2022

Versión en español

Course: 2022/2023

AI in Robotics
(19219)
Master in Applied Artificial Intelligence (Plan: 475 - Estudio: 378)
EPI


Coordinating teacher: CASTRO GONZALEZ, ALVARO

Department assigned to the subject: Systems Engineering and Automation Department

Type: Electives
ECTS Credits: 3.0 ECTS

Course: 1º
Semester: 2º



Requirements (Subjects that are assumed to be known)
Students are expected to know structured programming and object-oriented programming. Students will use C++ during the lab sessions. If the student is not familiar with this programming language, we will provide learning resources.
Skills and learning outcomes
Link to document

Description of contents: programme
1. Introduction to robotics 2. Perception in robotics 3. Actuation in robotics 4. Navigation 5. Decision making 6. Human-robot interaction
Learning activities and methodology
Theoretical session Lab sessions Theoretical-practical sessions Tutorial support sessions Workgroup Individual student work Final exam
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
  • Mataric, M. J.. The robotics primer. The MIT Press. 2007
  • Matja Mihelj, Tadej Bajd, Ale Ude, Jadran Lenar, Ale Stanovnik, Marko Munih, Jure Rejc, Sebastjan A Lajpah. Robotics (2nd edition). Springer. 2019
  • Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza. Introduction to autonomous mobile robots. MIT Press. 2011
  • Siciliano, B.; Khatib, O.. Springer Handbook of Robotics (2nd ed.). Springer. 2016
Recursos electrónicosElectronic Resources *
(*) 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.