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AWARD: Autonomous warehouse and last mile delivery

The project aims at providing a logistic platform to be deployed at logistics operator premises. The platform will leverage on a fleet of autonomous vehicles coordinated by advanced planning and scheduling techniques to improve the productivity and reduce cost of logistic operators dealing with goods within a warehouse and for last mile delivery.

Aim and goal

Develop a logistic platform leveraging on AI techniques to coordinate a fleet of autonomous vehicles (unmanned aerial and terrestrial vehicles) for moving goods within a warehouse and for last mile delivery in areas where traditional solutions are expensive.

Challenge

The challenge is to optimize the flow and use of resources within a warehouse using automated ground vehicles (AGV) and advanced planning and scheduling algorithms. In the extension drones will be used using similar techniques to deliver goods to nearby customers (hubs). For the drone operations there are many challenge such as performance prediction, collision avoidance, safety at take-off and landing areas. A great challenge is also to approach the issue of getting a flight permit to fly beyond visual line of sight (BVLOS).

Solution

By studying the warehouse process and understanding the limitations a scheduling and planning algorithm is developed together with AGV’s. A machine learning component helps refining/generating data to the planner. The drone section focuses on performance and feasibility if missions and will also start researching collision detection and avoidance.

Effect

The AWARD platform will help warehouses to improve quality, effectiveness and profit.


Summary

Project name

AWARD

Status

Active

Area

Automated vehicles

Region

Region Östergötland

RISE role in project

Participant

Project start

Duration

365 days

Total budget

962250 EUR

Partner

Funders

Contact person

Andreas Gising

Research Engineer

+46 73 3249530
andreas.gising@ri.se

Read more about Andreas