Unpredicted trajectories of an automated guided vehicle with chaos

Magda Judith Morales Tavera, Omar Lengerke, Max Suell Dutra

Research output: Book / Book Chapter / ReportChapterpeer-review


Intelligent Transportation Systems (ITS) are the future of transportation. As a result of emerging standards, vehicles will soon be able to talk to one another as well as their environment. A number of applications will be made available for vehicular networks that improve the overall safety of the transportation infrastructure. This chapter develops a method to impart chaotic motions to an Automated Guided Vehicle (AGV). The chaotic AGV implies a mobile robot with a controller that ensures chaotic motions. This kind of motion is characterized by the topological transitivity and the sensitive dependence on initial conditions. Due the topological transitivity, the mobile robot is guaranteed to scan the whole connected workspace. For scanning motion, the chaotic robot neither requires a map of the workspace nor plans global motions. It only requires the measurement of the workspace boundary when it comes close to it.

Original languageEnglish
Title of host publicationRobotics
Subtitle of host publicationConcepts, Methodologies, Tools, and Applications
PublisherIGI Global
Number of pages8
ISBN (Electronic)9781466646087
ISBN (Print)1466646071, 9781466646070
StatePublished - 31 Oct 2013
Externally publishedYes


Dive into the research topics of 'Unpredicted trajectories of an automated guided vehicle with chaos'. Together they form a unique fingerprint.

Cite this