Paper
4 May 1993 Flock autonomy for unmanned vehicles
Ilya Schiller, Joanne S. Luciano, James Stark Draper
Author Affiliations +
Proceedings Volume 1831, Mobile Robots VII; (1993) https://doi.org/10.1117/12.143822
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
In real-world situations multiple vehicles will be called upon to perform exploration, national defense, rescue and routine operations in hazardous environments. In multi-vehicle missions, the benefits autonomy has to offer are even greater. Multi-vehicle control and monitoring with autonomous operation will become an absolute necessity and autonomous cooperation of vehicles is the only practical alternative. Developing enabling technologies, such as autonomous control systems, can provide UAVs with the ability to fuse sensor data, cope with conflicting inputs, and make decisions. The success of UAV missions flying straight paths between way points can be enhanced by an on-board trainable adaptable replanning system that can route the UAV around unexpected threats or detour for unusual observations. This paper investigates different levels of autonomy for multiple unmanned vehicles. It is shown that different types of autonomous cooperation will be needed for different types of missions.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ilya Schiller, Joanne S. Luciano, and James Stark Draper "Flock autonomy for unmanned vehicles", Proc. SPIE 1831, Mobile Robots VII, (4 May 1993); https://doi.org/10.1117/12.143822
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Neural networks

Unmanned vehicles

Sensors

Mobile robots

Aluminum

Defense and security

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