Optimal path planning of mobile nanobots navigation control in human physiological systems using advanced soft computing technique

Abstract

As of now mechanical technology has fundamental impact in the innovative work of modern and assembling forms, biomedical applications, etc. With the development of innovation, machines are doing the greater part of the work which are utilized to be done by people. The need of robots for completing work in future is obvious. Ongoing advances in nanotechnology lead to nanorobots, in present time all specialists and researcher exceptionally center around great wise portable nanobot which are successfully utilized as nano medication. Future clinical nanotechnology has been envisioned to utilize nanorobots infused into the human body to perform treatment on a cell level. In any case, the issue is hindrance evasion, ideal way arranging, self confinement and speed controlling of portable nanobot. Each nanobot set inside the human body will experience invulnerable framework as deterrents during streaming inside a human body. In this manner nano robot must utilize procedure for maintaining a strategic distance from and getting away from such safe framework. To keep away from deterrents during development direction, self composed direction arranging is required. This examination proposes to utilize progressed delicate registering approach like versatile PSO, which is roused from the recreation of social conduct of common species, as a practical methodology for self composed control of nanoscale robots to evade snag all through the development direction, and furthermore we discover a proficient way of the nanobot utilizing this methodology at every moment of time, the calculations guarantee that under any situation, there would not be any impact of the nanobot with any of the progressively evolving deterrents. The calculations take a shot at a framework of unequivocal size with known places of snags. This matrix might be framed by examining the environmental factors.