Risks of Drone Use in Light of Literature Studies

Abstract

This article aims to present the results of a bibliometric analysis of relevant literature and discuss the main research streams related to the topic of risks in drone applications. The methodology of the conducted research consisted of five procedural steps, including the planning of the research, conducting a systematic review of the literature, proposing a classification framework corresponding to contemporary research trends related to the risk of drone applications, and compiling the characteristics of the publications assigned to each of the highlighted thematic groups. This systematic literature review used the PRISMA method. A total of 257 documents comprising articles and conference proceedings were analysed. On this basis, eight thematic categories related to the use of drones and the risks associated with their operation were distinguished. Due to the high content within two of these categories, a further division into subcategories was proposed to illustrate the research topics better. The conducted investigation made it possible to identify the current research trends related to the risk of drone use and pointed out the existing research gaps, both in the area of risk assessment methodology and in its application areas. The results obtained from the analysis can provide interesting material for both industry and academia.

Digital Battle: A Three-Layer Distributed Simulation Architecture for Heterogeneous Robot System Collaboration

“…These challenges, as listed in [2], encompass areas such as big data, the Internet of Things, task complexity, autonomous machine learning, scalability and heterogeneity trade-offs, coalition formation and task allocation, human in the loop, transfer learning, unified frameworks, communication constraints, and connectivity uncertainty. In addition, there are complex application challenges outlined in [3], including adaptive heterogeneous architecture and modeling methods for robot swarm systems; distributed perception and cognition of high-dimensional situations [4]; intelligent decision making and planning of robot swarm systems that can be guided, trusted, and evolved; and autonomous collaborative control of robot swarm systems.…”