Robotics and Autonomous Systems
Code
10991
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Engenharia Electrotécnica
Credits
6.0
Teacher in charge
José António Barata de Oliveira, Luís Manuel Camarinha de Matos
Weekly hours
4
Teaching language
Português
Objectives
1) Knowledge on: a) Base concepts of autonomous or semi-autonomous robots. b) Agents modelling and embodiment into robots. c) Programming, control and integration of robots. d) Principles of sensorial systems applied to robotics. e) Basic concepts of robot learning and bio-inspired robotics.
2) Know-how on: a) Formulate new problems and implementation strategies for heterogeneous robotic systems. b) Modelling intelligent system and robot architectures to enable an autonomous way of working or a remote control by human teleoperator. c) Increasing the capability of implementation of heterogeneous robotic systems.
3) Non-technical competences: a) Team-work and improvement of the oral and written communication skills. b) To develop abilities to think critically and differently. c) Time management and deadline fulfilment skills.
Subject matter
1. ROBOTICS FUNDATIONS: a) architectures, b) programming, c) artificial intelligence.
2. SENSING and PERCEPTION: a) odometry, b) sonar sensors, c) GPS location.
3. LEARNING: a) by reinforcement, b) by association, c) by imitation.
4. BIO-INSPIRED ROBOTICS: a) embodiment, b) neurorobotics, c) sensorial aspects, d) motor aspects, e) social robots.
5. SERVICE ROBOTICS: applications in a) education, b) health and surgery, c) driving.
6. MOBILE and DISTRIBUTED ROBOTS: a) swarm robotics, b) networked robots.
7. TELEOPERATION and HUMAN FACTOR: a) manual and semi-autonomous systems, b) supervision, c) interfaces and human-machine interaction.
Bibliography
1 - TRSA – Course handouts.
2 - Handbook of Robotics. Siciliano Khatib, Springer.
3 - Autonomous Mobile Robots. Roland Siegwart and Illah R. Nourbakhsh, MIT Press.
4 - How the Body Shapes the Way We Think: a New View of Intelligence. Rolf Pfeifer and Josh C. Bongard, MIT Press.
Evaluation method
Lab works and discussion (70%) + Articles presentation and discussion (30%)