Robot Localization using Single-Point LiDAR Array

The primary objective of this project is to develop a way for low-cost service robots to navigate indoors in a more accurate way. To keep costs down, such robots rely on relatively inexpensive encoders and gyroscopes to determine their positions and orientation. However, this leads to the problem of accumulated error while the robot attempts to follow paths from room to room, which gets progressively worse over time. To overcome this problem, the robot must somehow ‘know’ its true location at any moment. In this project, the team will attempt to do this without resorting to expensive sensors or high-powered computers. If successful, it will be possible for low-cost robots to navigate from room to room while deviating from its desired path by only a few centimeters.

Faculty Supervisor:

Sajad Saeedi

Student:

Partner:

Quantum Robotic Systems Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Toronto Metropolitan University

Program: