The seminar aims to provide students with a clear understanding of the various sensors used in robotics and the techniques used to process the collected data. One of the fundamental aspects of robotic design involves understanding the external environment, and the robot’s own internal state. Based on this information, the robot is then expected to make decisions (automation) and carry out the necessary tasks (actuation). Thus, understanding how various sensors work, and more importantly, selecting the appropriate sensors based on the parameters being measured, is going to be crucial when designing an efficient robotic system.
A range of topics will be covered as part of this seminar, starting with an overview of the basics, the use of appropriate sensors to gather relevant data about the environment, various processing techniques for different types of sensors, and the analysis of collected sensor data.
Given its versatility in terms of application, computer vision has become an extremely vital discipline within the topic of sensing. The seminar will also focus on using a camera (RGB and RGBD) and its applications in robotics, including object recognition and tracking, as well as the analysis of collected sensor data, using image processing techniques as well as machine learning, for the purpose of decision making and control.
On successful completion of this seminar, the student will be able to:
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