Real Time Human Assisted Path Planning for Autonomous Agent using VR

Abstract

Path Planning is a term used in robotics that comprises motion planning approaches that can acclimate to real-time changes in the environment. Many problems in various fields are solved by proposing path planning which is widely applied in partially and unknown structured environments. Autonomous systems made up of mobile agents have established themselves as effective, durable, and adaptable instruments for military (such as search and rescue missions), commercial (such as Google self-driving cars), and exploration (such as space robots). When a target area needs to be rapidly searched (observed) by several military units (scouts, UAVs, UGVs), it is a very difficult issue for the defense to solve. This work is done considering problems faced by the defense in performing various operations in remote areas where path planning is essential. The main goal is to help defense to provide training in virtual reality and a better understanding of situations and to help making decisions in difficult times and increase performance. To overcome the risk and limitations this game is introduces actual (Real World) scenarios and provide the facility to present the whole operation virtually and perform various task remotely. It also includes situations like traffic light systems, AI car navigation algorithms, Swarm of vehicles and Rescue operations. Training in a virtual environment brings down the cost drastically because the replicas of simulate vehicles and tools that are simulated cost way less than actual inventory.