Autonomous Mobile Robots
About this Course
Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, environment perception, probabilistic map based localization and mapping, and motion planning. The lectures and exercises of this course introduce several types of robots such as wheeled robots, legged robots and drones. This lecture closely follows the textbook Introduction to Autonomous Mobile Robots by Roland Siegwart, Illah Nourbakhsh, Davide Scaramuzza, The MIT Press, second edition 2011.Created by: ETH Zurich
Level: Intermediate
Related Online Courses
El aprendizaje automático es una habilidad que toma cada vez más relevancia debido al gran número de datos (big data), los cuales deben de ser analizados para tomar decisiones. En este curso en lí... more
About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in self-paced... more
__ _ Visualizing Natural Language Processing _ is the second course in the Text Analytics with Python professional certificate (or you can study it as a stand-alone course). Natural language... more
Para el proceso de minería de datos es fundamental conocer a priori qué productos compran nuestros clientes y hacer un análisis de la cesta de la compra con los datos de entrada disponibles. Es... more
About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in self-paced... more
Powered by
