Motion Planning and Control for a Multi-Purpose AI Based Autonomous Robot

Numerous algorithms have been developed over the last few years to create real-time path-planning systems for autonomous robots. There are three things or activities that must be followed or carried out by an autonomous robotic system to enable the execution of the task of robot navigation. These activities are mapping and modeling the environment, path planning and driving systems. The selection of an appropriate algorithm in every stage of the path-planning process is very important to ensure that the navigation process will run smoothly.  

The proposed applied research aims to develop and invent a fully autonomous multi-purpose robot that will serve in different industries to cover tasks like warehouse handling, delivering objects, or obstacle avoidance.