Multi-robot systems are a major research topic in robotics. Designing, testing, and deploying aerial robots in the real world is a possibility due to recent technological advances. This book explores different aspects of cooperation in multiagent systems. It covers the team approach as well as deterministic decision-making. It also presents distributed receding horizon control, as well as conflict resolution, artificial potentials, and symbolic planning. The book also covers association with limited communications, as well as genetic algorithms and game theory reasoning. Multiagent decision-making and algorithms for optimal planning are also covered along with case studies.
Key features:
Both scientists and practitioners in the field of robotics will find this text valuable.
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Yasmina Bestaoui Sebbane (1960–2018) was a full professor in Automatic and Robotics at the
University of Evry, Val d’Essonne (France). She was also the head of the pˆole Drones of IBISC
(Informatique, Biologie Int´egrative et Syst`emes Complexes), PEDR laboratory in the University of
Evry, and also served as the department head (2006–2015). She was an Academic Palms recipient
(2017) and led and contributed to many scientific committees and collaborations with other universities
to create new teaching courses. She earned her PhD in Control and Computer Engineering
from ´ Ecole Nationale Sup´erieure de M´ecanique, Nantes, France, in 1989 (currently ´ Ecole Centrale
de Nantes), and her Research Advisor Qualification (HDR: Habilitation to Direct Research)
in Robotics from the University of Evry, France, in 2000. Her research interests included control,
planning, and decision-making of unmanned systems, particularly unmanned aerial vehicles and
robots.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multi-robot systems are a major research topic in robotics. Designing, testing, and deploying aerial robots in the real world is a possibility due to recent technological advances. This book explores different aspects of cooperation in multiagent systems. It covers the team approach as well as deterministic decision-making. It also presents distributed receding horizon control, as well as conflict resolution, artificial potentials, and symbolic planning. The book also covers association with limited communications, as well as genetic algorithms and game theory reasoning. Multiagent decision-making and algorithms for optimal planning are also covered along with case studies.Key features:Provides a comprehensive introduction to multi-robot systems planning and task allocation Explores multi-robot aerial planning; flight planning; orienteering and coverage; and deployment, patrolling, and foragingIncludes real-world case studiesTreats different aspects of cooperation in multiagent systemsBoth scientists and practitioners in the field of robotics will find this text valuable. 274 pp. Englisch. Seller Inventory # 9781032242361
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