Real-time cellular-level imaging and medical treatment with a swarm of wireless multifunctional robots

This is a short communication where we present a theoretical model of a swarm of wireless robots that can be used for cellular-level diagnosis and treatment of a variety of life threatening diseases such as cancer. Based on this model, we illustrate a distributed position and orientation tracking algorithm that constructs digitized images from a set of pixels transmitted by the robots of the swarm model that are in motion. Simulation results are also presented.

Automated summary

This short communication introduces a theoretical model of a swarm of wireless robots for cellular-level diagnosis and treatment, along with a distributed position and orientation tracking algorithm. Simulation results demonstrate the effectiveness of the algorithm.