Checking date: 25/04/2024

Course: 2024/2025

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

Coordinating teacher: CASTRO GONZALEZ, ALVARO

Department assigned to the subject: Systems Engineering and Automation Department

Type: Electives
ECTS Credits: 3.0 ECTS


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
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
Learning activities: AF1 - Theoretical session AF2 - Lab sessions AF3 - Theoretical-practical sessions AF5 - Tutorial support sessions AF6 - Workgroup AF7 - Individual student work AF8 - Miterm and final exams Methodology: MD1 - Class lectures by the professor with computer and audiovisual media support, in which the main concepts of the subject are developed and the bibliography is provided to complement the student's learning. MD2 - Critical reading of texts recommended by the professor of the subject: press articles, reports, manuals, and/or academic articles, either for later discussion in class or to expand and consolidate the knowledge of the subject. MD3 - Resolution of practical cases, problems, etc. .... posed by the teacher individually or in groups. MD4 - Presentation and discussion in class, under the moderation of the professor, of topics related to the content of the subject, as well as case studies. MD5 - Elaboration of works and reports individually or in groups.
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 *
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The course syllabus may change due academic events or other reasons.