Lounis Adouane

Autonomous Vehicle Navigation

From Behavioral to Hybrid Multi-Controller Architectures

• Broschiertes Buch

Produktbeschreibung

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 rel

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 528
• Erscheinungstermin: 14. August 2020
• Englisch
• Abmessung: 234mm x 156mm x 14mm
• Gewicht: 381g
• ISBN-13: 9780367574901
• ISBN-10: 036757490X
• Artikelnr.: 71944005

Autorenporträt

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 Besançon. 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.

Inhaltsangabe

Global concepts/challenges related to the control of intelligent mobile
robots. Autonomous navigation in cluttered environments. HybridCD
(continuous/discrete) multi-controller architectures. HybridRC
(reactive/cognitive) and homogeneous control architecture based on PELC.
Flexible and reliable autonomous vehicle's navigation using optimal
waypoint configuration. Cooperative control of multi-robot systems. General
conclusion and prospects. Appendices.