Dates: July 21 - August 01 (2 weeks)
Place: Dep. of Electrical and Computer Engineering (DEEC, UC), Polo2.
Format: 12 modules (81 hours) in-person. Starting at 9:30 a.m. room T4.4
N# max. students: 40
Module 1. Introduction and overview: robotics and machine learning (21 July) 9h30
Cristiano Premebida / Jérôme Mendes
Module 2. Fundamentals of mobile robotics (21 July) 14h00
Jorge Batista / Tiago Barros
Module 3. Mobile robots perception (22 July) 9h30
Cristiano Premebida
Module 4. Mobile robotics hardware and systems (22 July) 14h30
Lino Marques / Sedat Dogru
Module 5. Robotics simulation, Robot Operating System (23 July) 9h30
David Portugal / Luís Garrote
_______________________________ ML Part:
Module 6. Probability, Bayesian inference, Bayesian Networks (23 July) 14h00
Cristiano Premebida
Module 7. Pattern recognition, principles, algorithms (24 July) 9h30
Paulo Peixoto / João Paulo
Module 8. Linear and non-linear regression (24 July) 13h00
Nuno Gonçalves
Module 9. Introduction to Deep-learning and machine vision (25 July) 9h30
Cristiano Premebida
Keynote speaker (11h30) - to be announced soon
Module 10. Reinforcement Learning and Fuzzy-systems (25 July) 14h00
Urbano Nunes / Jérôme Mendes / Luis Garrote
Module 11 & 12. Projects and case studies (week 28 July - 01 August)
Topics related to robotics and machine learning.
Schedule
Typically, the Modules will be organized in two Sessions:
1st week (modules 1-10): lectures, tutorials, invited talks. Normally the lectures starts at 9h30 a.m. and then at 14h00 (after lunch).
2nd week (modules 11-12): practical/hands-on activities, projects.