Humanitarian crises have become more frequent, complex and protracted. If current trends continue, it is estimated that by 2030, humanitarian assistance costs could increase to $50 billion per year. By then, two-thirds of the world’s poor are at risk of living in conflict-affected countries. To bridge the gap, humanitarian organizations are increasingly utilizing innovative financing tools such as impact bonds, faith-based finance and other innovative financial products and services to mobilize greater funding to address humanitarian needs. This book is among the first to assess a set of innovative financing mechanisms that have been transforming the humanitarian sector and explores their key opportunities, challenges and future prospects. This book will be of interest to academics, practitioners, humanitarian organizations and policy makers involved in humanitarian financing and to the humanitarian sector in general.
This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environments containing randomly scattered obstacles. The research conducted resulted in tangible results both in theory and in practice. For path planning, new algorithms for large-scale problems are devised and implemented and integrated into the Robot Operating System (ROS). The book also discusses the parallelism advantage of cloud computing techniques to solve the path planning problem, and, for multi-robot task allocation, it addresses the task assignment problem and the multiple traveling salesman problem for mobile robots applications. In addition, four new algorithms have been devised to investigate the cooperation issues with extensive simulations and comparative performance evaluation. The algorithms are implemented and simulated in MATLAB and Webots.
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