Design Challenge
The core challenge of this project was to build a robotic solution capable of reliable autonomous navigation across a variety of indoor arenas. To simulate real-world unpredictability, each team constructed their own unique layout, requiring our system to handle unfamiliar terrains and obstacles with no prior data. This highlighted the need for robust mapping, path planning, and localization strategies.
Navigation Objective
Our system was designed to move from its starting location to the center of a designated plot using the most efficient route. To achieve this, the robot needed to interpret sensor data, dynamically generate a map, and determine optimal paths.
Thematic Arena: Canopy Park
Our arena design was inspired by Canopy Park at Changi Airport, incorporating both decorative features and physical obstacles to resemble a realistic airport setting. This thematic approach blended technical complexity with creative design.

Robot Platform: LIMO
For this project, we used the LIMO robot platform by AgileX Robotics. LIMO is a compact and versatile mobile robot equipped with multiple drive modes (Ackermann, omnidirectional, tracked, and differential)

Demonstration
This clip shows our LIMO robot navigating a themed arena using ROS1 and RTAB-Map. It performs real-time mapping and autonomous navigation, adapting to the environment and reaching the goal efficiently.
If you would like to explore the source code for this project, you can visit our GitHub repository:
🔗 View Project Code on GitHub