Vision-Based Swarming in Multi-Robot Systems
Supervisor: Dr S Zhao
Motivated by the amazing swarm phenomenon in nature such as flocking of birds, many researchers have studied multi-robot swarming systems in recent years. Considering vision is one of the most important sensing approaches for animals in nature, this project aims at exploring the interesting role of visual sensing in multi-robot swarming systems.
With a single camera, a robot is able to “see” the other robots and obtain their location information. However, it is usually difficult for visual sensing to obtain accurate range information of the other robots. This has been recognized as an interesting fundamental “shortcoming” of visual sensing. This project studies how to achieve desired swarm behaviors of multiple robots in the presence of imperfect visual sensing.
In this project, students are expected to explore the fundamental mechanisms in vision-based multi-robot swarming with mathematical and simulation approaches. Prospective students should have a background in control engineering, robotics, mathematics, or computer science. If you are interested or have any questions, please do not hesitate to contact email@example.com.
Dr Shiyu Zhao
Tel: +44 (0) 114 222 5662