Enhancing Locomobi Mobi 1: A comprehensive study and optimization of Robot Navigation and Safety

Funder: GRIF
Program: Mobilize / GRIF
PI Name: Imran Khan
Faculty/Department: Faculty of Applied Sciences & Technology
Research Area(s): Systems Integration; Sustainable Architecture & Energy Efficient Construction; Industrial Internet of Things (Internet 4.0)

The project aims to investigate and collect requirements as a precursor in redesigning and rebuilding an existing Locomobi Mobi1 robot. In doing so, the team aims to determine improvements to the automated parking attendant robot to augment Mobi1 by making it easier to assemble and scalable for manufacturing. The Mobi is an autonomous robot programmed to perform tasks for security and parking applications. Mobi was developed over the past 3 years and introduced this past fall in beta form. It is the most advanced autonomous robot that follows schedules, routes and enforces parking regulations, monitors vehicles and traffic, can even detect violations, and even give pedestrians directions.