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 T4.1
N# max. students: 40
Module 1. Introduction and overview: robotics and machine learning (21 July) 9h30
Cristiano Premebida / Jérôme Mendes
Module 2. Mobile robots perception (21 July) 14h00
Cristiano Premebida
Module 3. Fundamentals of mobile robotics (22 July) 9h30
Pedro Martins
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 / Afonso E. Carvalho
_______________________________ 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) 14h00
Nuno Gonçalves
Module 9. Introduction to Deep-learning (25 July) 9h30
Cristiano Premebida / Tiago Barros
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 robotic-perception 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.