Design and Simulation of an Artificial intelligence (AI) Brain for a 2D Vehicle Navigation System

INCAS Bulletin

Akash MUKHERJEE¹  Balaji VENKATESWARAN²  Kokila VASUDEVAN³  Raja MUNUSAMY⁴ 

[1] Aeronautical Department, Hindustan Institute of Technology and Science, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai -603103, Tamil Nadu, India, [e-mail];Aeronautical Department, Hindustan Institute of Technology and Science, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai -603103, Tamil Nadu, India, [e-mail];Aeronautical Department, Hindustan Institute of Technology and Science, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai -603103, Tamil Nadu, India, [e-mail];Aeronautical Department, Hindustan Institute of Technology and Science, Rajiv Gandhi Salai (OMR), Padur, Kelambakam, Chennai -603103, Tamil Nadu, India, [e-mail];

关键词: artificial intelligence;    deep reinforcement learning;    intelligent vehicle;    deep q-learning;   

DOI  :  10.13111/2066-8201.2022.14.2.5

来源: DOAJ

【 摘 要 】

The aim of this research paper is to develop an artificial intelligence (AI) brain for a 2D vehicle to help it navigate in a certain environment. The goal of the 2D car is to do round trips between two defined checkpoints while avoiding obstacles that are created by the user. The two defined checkpoints are the top left corner of the screen and the bottom right corner of the screen. This project makes use of PyTorch API to design the brain of the car and of Kivy API to design the environment of the car. Spyder, a cross-platform integrated development environment is used to visualize the project.

【 授权许可】

Unknown