Command, control, and autonomous swarms

Simon P. Monckton; Gregory S. Broten

doi:10.1117/12.604337

27 May 2005 Command, control, and autonomous swarms

Proceedings Volume 5804, Unmanned Ground Vehicle Technology VII; (2005) https://doi.org/10.1117/12.604337
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

For unmanned combat forces, some research proposes multi-robot coordination through common analytical coordination algorithms using reliable, high bandwidth communications. Such coordination is capable of optimal or near-optimal distribution of unmanned forces, but requires reliable communications and frequent feedback and control to ensure predictable performance. Others propose local autonomy, reducing dependence on reliable communications through greater intelligence within each unmanned system, but at the cost of optimality, predictability, and dependency on rich, high rate sensing. Thus a fundamental problem of swarm control can be starkly drawn. If centralized control is not practical and the swarm must function at a level comparable to manned forces, swarm members must adhere to common goal direction semantics that permits each unit to dissect its contribution to the team objective with or without consultation and negotiation. How, then should missions be expressed, allocated, and monitored?

Citation Download Citation

Simon P. Monckton and Gregory S. Broten "Command, control, and autonomous swarms", Proc. SPIE 5804, Unmanned Ground Vehicle Technology VII, (27 May 2005); https://doi.org/10.1117/12.604337

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