Comparative analysis of A.I based swarm algorithms

Now-a-days mobile robots are vastly used in many areas such as in military purposes, space research, emergency situations like fire hazard, medical use etc. The robot completed above type of tedious tasks efficiently and effectively without any human interruption. To cope up with such situation ?Pat

Project Title

Comparative analysis of A.I based swarm algorithms

Project Area of Specialization

Artificial Intelligence

Project Summary

Now-a-days mobile robots are vastly used in many areas such as in military purposes, space research, emergency situations like fire hazard, medical use etc. The robot completed above type of tedious tasks efficiently and effectively without any human interruption. To cope up with such situation “Path Planning” term has been introduced. In path planning, robot needs to navigate on a route whether the environment is familiar or not to the robot.During navigation mobile robot needs to find the suitable path from source to goal point. In recent years, mobile robots path planning problem has become an important field of robotics. In path planning problem, the robot will be placed somewhere (starting point) and it requires to have a good decision-making capability to find an optimal path to reach the goal. In real life there are many and complex problems where we need to use the meta-heuristics algorithms because these algorithms are problem independent and is used for complex problem as well. So in this project comparitive analysis will be performed on swarm algorithms to find the efficent algorithm for problem solving.

Project Objectives

Program the robot to solve the maze problem.
To improve the ability of robots in path planning.
To understand the decision-making algorithm.
To find the algorithm with optimal solution. 

Project Implementation Method

Simulation will be performed using Anaconda spyder as IDE and python as a programming language.

Benefits of the Project

Mobile robots are vastly used in many areas such as in military purposes, space research, emergency situations like fire hazard, medical use etc. The robot completed above type of tedious tasks efficiently and effectively without any human interruption.After finding efficient meta heuristics algorithm robot will be able to become problem independent and perform for complex problem as well. Robot will perform their tasks globaly with less time and expenses.

Technical Details of Final Deliverable

Final dilivery of project will be simulation where meta heuristics algorithm will be compaired and the efficent algorithm will be founded using simulations.

Final Deliverable of the Project

Software System

Type of Industry

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com