ID: 569
Robot Localisation: An Introduction
Speaker: Luis Contreras | Tamagawa University
Highlights
We will present the basic concepts for robot localisation in a known map from a probabilistic point of view. We will introduce the probabilistic model for robot motion and show you how to solve this problem using particle filters. At the end, we will introduce our online tutorial to start your projects using robot vision.
Open source code
Luis Contreras received his Ph.D. in Computer Science at the Visual Information Laboratory, in the Department of Computer Vision, University of Bristol, UK, working on problems related to computer vision and robotics. Currently, he is a research fellow at the Advanced Intelligence & Robotics Research Center, Tamagawa University, Japan. He has also been an active member of the Bio-robotics Laboratory at the Faculty of Engineering, National Autonomous University of Mexico, Mexico. He has been working on service robots and has tested his latest results at the RoboCup and similar robot competitions for the last ten years.
Robot Localisation: An Introduction
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