Voice-Enabled Autonomous Robot with Cartographer SLAM for Multi-Point Navigation

Abstract

Developments in Autonomous mobile robot have come from growing need for quick and seamless delivery options. This project provides a voice-driven autonomous robot with effective multi-point navigation configured with Cartographer SLAM. This system controlled by a Jetson Nano combine with ROS programming for real-time communication and processing. Cartographer SLAM is used for mapping and localization by LIDAR sensor the robot uses a microphone array for voice recognition, therefore allowing hands-free operation. Whereas a cartographer SLAM algorithm maximizes delivery pathways depending on environmental variables, a real-time SLAM-based navigation system guarantees exact localization and obstacle avoidance. By allowing the robot to dynamically visit pre-defined waypoints, the multi-point navigation capability helps to maximize path planning and obstacle avoidance.