Real-Time Remote Control and Autonomous Navigation of a Two-Wheeled Robot with ROS and Raspberry Pi 4

Abstract

Abstract: The development of autonomous vehicles has been the subject of considerable research and development in recent years. The project aims to develop a 2-wheeled autonomous car using a Robotic Operating System (ROS) with lidar and camera sensors as inputs. The car's control system will be designed to make decisions based on the information provided by these sensors, allowing it to navigate and avoid obstacles in real-time. The project will begin by selecting appropriate hardware components such as motors, batteries and sensors and integrating them into a functional prototype. Lidar and camera sensors will be used to detect and localize the position of the car, detect obstacles and determine their distance from the vehicle. The control system will be developed using ROS, an open source software framework for robot development, and will include algorithms for navigation, obstacle avoidance and decision making. The car will be programmed to follow a predetermined route. Finally, the autonomous car's performance will be evaluated through various tests, including its ability to follow a specific path and avoid obstacles. The results of these tests will be analyzed, and possible improvements will be identified. The outcome of this project is expected to provide a proof-of-concept for the development of autonomous vehicles using ROS with lidar and camera sensors as input. This technology has the potential to revolutionize the transportation industry by providing safer and more efficient transportation solutions