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 foraging







Includes real-world case studies







Treats different aspects of cooperation in multiagent systems





Both scientists and practitioners in the field of robotics will find this text valuable.