Abstract:We present a computational approach to enable the development of nanorobots operating in a fluid environment relevant for medical applications. Unlike the case of larger robots, the dominant forces in this environment arise from viscosity of low Reynolds number fluid flow and Brownian motion and such parameters are described throughout the paper. Hence, this paper describes a practical simulator that allows fast design methodology comparing various control algorithms for nanorobots and their suitability for different tasks. The simulator includes obstacles and identifiable targets, thereby providing a suitable environment for a typical nanorobot task: maintaining desired chemical concentrations near specific target areas.