<p><p></p><p>Todayβs real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses the ad
Multi-UAV Planning and Task Allocation
β Scribed by Yasmina Bestaoui Sebbane (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2020
- Leaves
- 275
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Author. Chapter 1. Chapter 2 Flight Planning. Chapter 3 Orienteering and Coverage. Chapter 4 Deployment, Patrolling and Foraging. Index.
π SIMILAR VOLUMES
<p><i>Multi-rotor Platform Based UAV Systems</i> is aimed at providing an excellent opportunity for experiential learning, capability augmentation and confidence building for senior level undergraduates, entry-level graduates as well as engineers working in government agencies and industry involved
<p>Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is n
While mainstream financial theories and applications assume that asset returns are normally distributed and individual preferences are quadratic, the overwhelming empirical evidence shows otherwise. Indeed, most of the asset returns exhibit βfat-tailsβ distributions and investors exhibit asymmetric
<span>A remarkable facet of the human brain is its ability to manage multiple tasks with apparent simultaneity. Knowledge learned from one task can then be used to enhance problem-solving in other related tasks. In machine learning, the idea of leveraging relevant information across related tasks as