Conclusions and Outlook
The main focus and emphasis of this monograph has been on the bio-inspired computation in unmanned aerial vehicle (UAV), such as path planning for single UAV and multiple UAVs, formation flight control and formation configuration, heterogeneous cooperativ
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Conclusions and Outlook Haibin Duan and Pei Li
Abstract The main focus and emphasis of this monograph has been on the bioinspired computation in unmanned aerial vehicle (UAV), such as path planning for single UAV and multiple UAVs, formation flight control and formation configuration, heterogeneous cooperative control for multiple UAVs/UGVs, and vision-based surveillance and navigation problems. Despite the fact that we have witnessed significant advances in the UAV in the last few years, new and novel concepts and technologies are required to transcend to higher levels of autonomy. To this end, new development trends, such as small air vehicle, air-breathing hyposonic vehicles, and system integration, are discussed. We attempt to provide insightful sources for the researchers and scholars who have interests in bio-inspired computation for UAVs from three aspects: achieving higher autonomous capability, enhancing the ability to understand and adapt to the environment, and cooperative control of multiple autonomous vehicles.
8.1 Conclusions Although much of the technology and equipment associated with the unmanned aerial vehicles (UAVs) are relatively new, the concept is old. UAVs have made significant contributions to the warfighting capability of operational forces and also to civil and commercial applications. They greatly improve the timeliness of battlefield information. While reducing the risk of capture or loss of manned assets, they offer advantages for many applications when comparing with their manned counter parts (Duan et al. 2010b; Duan and Liu 2010a; Francis 2012). They preserve human pilots of flying in dangerous conditions that can be encountered not only in military applications but also in other scenarios involving operation in bad weather conditions or near to buildings, trees, civil infrastructures, and other obstacles. Federated systems consisting of multiple unmanned aerial vehicles performing complex missions present new challenges to the control community. UAVs must possess attributes of autonomy in order to function effectively in a H. Duan and P. Li, Bio-inspired Computation in Unmanned Aerial Vehicles, DOI 10.1007/978-3-642-41196-0__8, © Springer-Verlag Berlin Heidelberg 2014
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8 Conclusions and Outlook
“system-of-systems” configuration. Coordinated and collaborative control of UAV swarms demands new and novel technologies that integrate modeling, control, communications, and computing concerns into a single architecture. Typical application domains include reconnaissance and surveillance missions in an urban environment, target tracking and evasive maneuvers, search and rescue operations, and homeland security. Major technological challenges remain to be addressed for such UAV swarms or similar federated system-of-systems configurations to perform efficiently and reliably. Excessive operator load, autonomy issues, and reliability concerns have limited thus far their widespread utility. The systems and controls community is called upon to play a major role in the introduction
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