Improving Group Dynamics of Mobile Robots through SensoRFID Confluence

نویسنده

  • Kirti Chawla
چکیده

Future envisions that swarms of mobile robots will assist or supplant humans in performing onerous and dangerous tasks such as mineral exploration, firefighting, urban search and rescue, military applications, and containing ecological disasters. These mobile robots will be operating in cohesion, demonstrating complex group dynamics to execute tasks efficiently, and to avert failures that may lead to catastrophic results. In this paper, we propose a robust, dynamic and scalable paradigm consisting of five universally applicable primitives that aids in improving the group dynamics of mobile robot groups. Early experimental evidence highlights the immense potential, utility, and economic viability of the proposed

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تاریخ انتشار 2010