Autonomous Robot SLAM and Navigation — Capstone Design Project
Capstone design project developing an autonomous navigation system for a TurtleBot mobile robot with SLAM, localization, and obstacle avoidance.
Problem
Autonomous mobile robots require robust systems for simultaneous localization and mapping (SLAM), pose estimation, obstacle avoidance, and waypoint-based navigation under real-world constraints.
Approach
Developed an autonomous navigation system for a TurtleBot mobile robot, addressing core robotics challenges including SLAM, pose estimation, obstacle avoidance, and waypoint-based navigation. The project integrated sensing, localization, and navigation into a cohesive autonomous system.
Outcome
The robot autonomously explored and mapped its environment, localized itself within the map, and navigated safely toward predefined waypoints under real-world constraints. Achieved first-place ranking among capstone teams at Inha University in Tashkent.