Swarm Intelligence Enables Multiple Unmanned Surface Vehicles for Environmental Monitoring

Rivers, canals, and lakes spread all over the land, making the interaction with the water environment a common daily experience for people. High-quality waters make the city beautiful. Nevertheless, there still remain significant challenges in maintaining the waters. In order to enhance the reliability and efficiency of water maintenance, we will develop the swarm intelligence enabled multiple unmanned surface vehicles (USVs) with the aim of offering foundations for the water environment monitoring task. With the swarm intelligence-based planning capability, the USVs can effectively and efficiently detect the floating waste on the water surface and generate the safe, efficient and energy-optimal trajectories for the USVs. The USVs then can follow the planned trajectories under the distributed MPC based formation control strategy.

Faculty Supervisor:

Yang Shi

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Automotive

University:

University of Victoria

Program: