Perception et robotique (Robotic Perception)

Course Info

Course number:S10/2018
Level: Master 1
Language: English
Duration: 20h

Instructors

Javier CIVERA, University of Zaragoza, Spain

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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

1. sensors (odometry, RGB and RGB-D cameras, IMU, LiDAR),
2. sensor fusion,
3. geometric localization and mapping (SLAM),
4. 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