Project Overview
A self-navigating ground robot equipped with an RPLidar A1 LiDAR sensor for 360° environment mapping, Raspberry Pi 4 for SLAM-based path planning, and an Arduino for low-level motor control. The rover autonomously navigates indoor environments while avoiding obstacles.
Problem Statement
Autonomous navigation is a core robotics challenge. Students need a hands-on platform to understand SLAM, sensor fusion, and real-time control systems.
Proposed Solution
A two-wheeled differential drive rover with LiDAR for mapping, Raspberry Pi running ROS2 for navigation, and Arduino Mega for motor PWM control communicates via UART serial bridge.
Core Project Objectives
1Precision Hardware Data Acquisition
Capture continuous analog/digital sensor readings with robust noise filtering and hardware calibration.