Course Info
Course number:S10/2018
Level: Master 1
Language: English
Duration: 20h
Instructors
Javier CIVERA, University of Zaragoza, Spain
Course Features
Programming Language: Python, C++
Textbooks or readings:
- Roland Siegwart, Illah Reza Nourbakhsh, Davide Scaramuzza, Introduction to Autonomous Mobile Robots, MIT Press, 2011
- Peter Corke, Robotics, Vision and Control, Springer, 2018
Description
This course will introduce and detail some of the main topics in robotic perception, namely
- sensors (odometry, RGB and RGB-D cameras, IMU, LiDAR),
- sensor fusion,
- geometric localization and mapping (SLAM),
- semantic mapping.
What Will I Learn?
- Understand the main distinctive features of robot perception
- Understand the particularities of the most common robotic sensors
- Fuse the information from several sensors
- Understand the main components of a robotic perception system
- Estimate the localization of a robot and a map of its surroundings from one or several sensors
- Estimate a scene map with semantic content
Prerequisites
ROS