Methodologies of Mobile Robotics

Year
1

Academic year
2015-2016

Code
03000030

Subject Area
Electrical and Computer Engineering

Language of Instruction
Portuguese

Other Languages of Instruction
English

Mode of Delivery
Face-to-face

ECTS Credits
6.0

Type
Elective

Level
3rd Cycle Studies

Recommended Prerequisites

Probability and statistics, Control, Computer programming.

Teaching Methods

Classes of tutorial orientation and seminar.

Learning Outcomes

After attending this curricular unit, the students should have acquired the scientific and technical knowledge required for the understanding, design, modeling and application of perception and navigation systems in the framework of mobile robotics and autonomous vehicles.

Acquisition of skills, in research environment, such as analysis and synthesis, independent learning, and adaptability to new contexts.

Work Placement(s)

Syllabus

Path-following and path-tracking control. Detection and tracking of objects and local navigation methods: sensors and techniques. Sensors and sensor fusion methods used in mobile robotics and autonomous vehicles. Navigation systems and localisation methods. Control and navigation architectures. Environment maps: grid-based maps and geometric maps; map building methods.

Head Lecturer(s)

Urbano José Carreira Nunes

Assessment Methods

Assessment
Practical work with elaboration of a technical report and final presentation: 100.0%

Bibliography

• Siegwart, R. and Nourbakhsh, I. (2004) – Introduction to Autonomous Mobile Robots, MIT Press.

• Thrun, S., Burgard, W., and Fox, D. (2005) – Probabilistic Robotics, MIT Press.