Back to ProjectsBFS + PID
Sense
LiDAR + IMU + encoders
Think
occupancy map + BFS
Control
PID steering
Result
Top-3 competition finish
Navigation stack
Small corrections, every cell.
The robot constantly fused distance, heading, and wheel motion so small errors did not compound across the maze.
01
Read sensors
LiDAR, IMU, and encoders update the local state.
02
Update map
The maze representation changes as walls are discovered.
03
Plan route
Breadth-first search chooses the next useful cell.
04
Drive cleanly
PID keeps straight runs and turns consistent.
Path planning
Route chosen from noisy data
Run footage
Testing the control loop
Short demos of maze navigation, accuracy tuning, and straight-line PID behaviour.
Micromouse Maze Navigation
Full demonstration of the Micromouse robot navigating through a complex maze environment using its sensor array and path planning algorithms.
Early Testing - Accuracy Focus
This video shows early testing of the micromouse robot where we prioritized getting accurate movement over speed. The robot demonstrates precise navigation and turning capabilities.
PID Control Straight Line Demonstration
This video demonstrates the PID controller in action alongside aid from LiDAR values, showing how the robot maintains a straight line path with precise motor control.