MOTC, QPost sign MOU to Develop an Autonomous Drone Delivery Service

Monday, April 11, 2016

The Ministry of Transport and Communications signed an MoU with Qatar Postal Services Company (QPost) to develop a pilot project for a new innovative service that will change the way we deliver parcels and goods in Qatar.

At the same time the project will increase efficiency of the service by resolving traffic congestions and could potentially highly reduce the impact to the environment when deployed in large scale.

The Ministry of Transport and Communications Smart Innovation Lab will develop an autonomous drone delivery service proof of concept with QPost. The Innovation Lab has been formed to develop digital disruptive innovation in key sectors of Qatar while developing local high-tech skills and capabilities, spur new businesses and innovation.

“We are proud to work with QPost to promote the how Digital Innovation is taking Qatar towards a Smart Future with such program developing a true advanced drone delivery service made in-house in our Smart Innovation lab for the people,” said Ms. Reem Al Mansoori, Undersecretary for Digital Society Development, the Ministry of Transport and Communications.

She added that the project will enhance quality of life with a positive impact on the environment, people and enable a synergy between several key entities in Qatar from academia to research organizations too.

From his part, Faleh Al-Naemi, QPost Chairperson and Managing Director said “QPost is currently in a phase of transformation with many new services coming soon and is constantly looking to innovate. Such program will help us reach out to all our people and revolutionize the way we serve Qatar with faster, environmental-friendly and reliable delivery services.”

The agreement supports the development of use cases with in-house developed drones technologies to deliver parcels in a defined location as a pilot. The project is composed of two tracks resulting in a showcase of the first version in 3 months and the second version in 6 months with the use of advanced robotics, automation and big data analytics.