Autonomous Vehicle Navigation (ePub)

Name: Autonomous Vehicle Navigation
Brand: Taylor & Francis
SKU: 153037293
Price: 101.99 EUR
Availability: OnlineOnly

From Behavioral to Hybrid Multi-Controller Architectures (Sprache: Englisch)

Autor: Lounis Adouane

Schreiben Sie einen Kommentar zu "Autonomous Vehicle Navigation".

Autonomous Vehicle Navigation, Lounis Adouane

Merken

Mehr zum Inhalt Autorenporträt Video

Leider schon ausverkauft

Bestellnummer: 153037293

eBook (ePub) 101.99 €

Download bestellen

Verschenken

50 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Autonomous Vehicle Navigation (ePub)“

This book reveals innovative control architectures that can lead to fully autonomous vehicle navigation in complex environments. Accessible to researchers and graduate students, it presents novel techniques and concepts that address different complex mobile robot tasks. Covering mono- and multi-robot navigation, the book describes components related to task modeling, planning, and control. Extensive simulations and experiments illustrate the methodology, and software technologies and algorithms are discussed for the experiments. MATLAB and Simulink code is available on the author's website.

Autoren-Porträt von Lounis Adouane

Lounis Adouane is an associate professor at the Institut Pascal - Polytech Clermont-Ferrand in France. He received an MS in 2001 from IRCCyN-ECN Nantes, where he worked on the control of legged mobile robotics. In 2005, he obtained a PhD in automatic control from FEMTO-ST laboratory-UFC Besancon. During his PhD studies, he deeply investigated the field of multi-robot systems, especially those related to bottom-up and hybrid control architectures. Dr. Adouane's current research topics are related to both autonomous navigation of mobile robots in complex environments and cooperative control architectures for multi-robot systems. More specifically, his main research include planning and control, hybrid multi-controller architectures, obstacle avoidance, cooperative robotics, artificial intelligence (such as Markov decision process, multi-agent systems, and fuzzy logic), and multi-robot/agent simulation. He is the author/coauthor of more than 60 refereed international papers on these topics.