Autonomous Mobile Robots

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Roland Siegwart 24 Business Intelligence Edx

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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.

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Roland SiegwartProfessor, Autonomous Systems at ETH Zurich

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Roland Siegwart is a Professor of Autonomous Systems at ETH Zurich. After studying mechanics and mechatronics he was engaged in starting up a spin-off company, spent ten years as professor for autonomous microsystems at EPFL Lausanne and he held visiting positions at Stanford University and NASA Ames. Roland is a member of the Swiss Academy of Engineering Sciences, IEEE Fellow and officer of the International Federation of Robotics Research (IFRR). He has coordinated four large European projects and is the co-founder of half a dozen spin-off companies. Roland Siegwart has been general chair of several conferences in robotics including IROS 2002, AIM 2007, FSR 2007, ISRR 2009. His interests are in the creation and control of intelligent robots operating in complex and highly dynamic environments. Prominent examples are personal and service robots, inspection devices, autonomous micro-aircraft and walking robots.