Neural Motion and Evolutionary Decision in Robotic Competition Applied for Molecular Machine System Design
نویسنده
چکیده
The author presents a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application for medicine. The problem under study concentrates its main focus on nanorobot autonomous control for molecular assembly manipulation and the use of evolutionary competitive agents as a suitable way to warranty the robustness of any proposed model. The presented paper summarizes distinct aspects of some techniques required to achieve a successful nano-planning system design with a 3D visualisation in real time.
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