University of Waterloo students may soon be able to order pizza or a burger from a nearby plaza and have it brought to campus by Canada’s first all-weather autonomous delivery robot.
LoopX, a Waterloo Engineering startup company that is developing the technology to do just that, received a $30,000 funding boost recently when it took top prize in the 5G Transportation Challenge sponsored by Rogers and the Ontario Vehicle Innovation Network.
As the challenge winner, LoopX is also benefiting from technical support from Rogers and its partners to develop a 5G Multi-access Edge Computing system (MEC) that gives software developers cloud-computing capabilities which are close to the end users.
“While most of the companies competing have been in business for over 10 years, LoopX just launched last year,” says founder Chao Yu, a mechatronics engineering doctoral candidate. “There are a lot of factors that helped us be successful including all the autonomous vehicle expertise at the University. Most of the LoopX team members are involved in the University of Waterloo’s WATonoBus, the first all-weather 5G autonomous shuttle bus at a Canadian university.”
Within the next three months, LoopX - also a recipient of funding from the Engineer of the Future Fund at Waterloo Engineering - plans to demonstrate its 5G MEC-based hybrid driving system in the David Johnson Research + Technology Park at the University of Waterloo. Yu, a member of the Mechatronic Vehicle Systems Lab led by Amir Khajepour (RoboHub researcher), his PhD supervisor, expects the startup’s autonomous delivery robot to receive the necessary approvals to be commercialized sometime next year. The service is expected to be piloted in August with customers ordering food from a partner restaurant close to campus for delivery to the front of the Davis Centre. Within 30 minutes, the robot would arrive with the food in one of its multiple compartments. The customer would unlock the compartment using a code messaged to them.
Although there are other autonomous delivery robots, Yu says his company is unique because its advanced chassis control techniques, cutting-edge autonomous driving algorithms and datasets gathered in harsh Canadian winters provide a reliable all-weather delivery service. Its bright red, 1.2 m X .8 m X 1.2 m delivery vehicle is equipped with multiple safety features, such as an audible signal for pedestrian safety, and remote and on-board e-stops. Its autonomous driving features include two LiDARs, eight ultrasonic sensors, and eight monocular cameras, as well as a GNSS module that delivers 360-degree perception and centimetre-level positioning.
Read the full article on the University of Waterloo News page.