This research project addresses the cooperative hunting problem, where the objective is to coordinate a group of agents to surround a static or moving target. Cooperative hunting is seen in nature by pack hunters such as wolves and chimpanzees, with the goal being to capture prey. Due to its connection with nature and with multi-agent systems, many existing solutions are biologically inspired or derived from flocking theory. The focus is placed on the following aspects:
- smart path planning to reach targets while avoiding obstacles
- intelligent control techniques to deliver the cooperative hunting task
- Jacky Liao
- Joshua Furtado
Multi-UAV Path Planning and Guidance for Cooperative Hunting in a Cluttered Environment Journal Article
In: Journal of Intelligent and Robotic Systems, 2019.
Comparative Analysis of OptiTrack Motion Capture Systems Inproceedings
In: Canadian Society of Mechanical Engineers Congress, pp. 1–5, Toronto, Canada, 2018.
3-D UAV Path Planning in a Cluttered Environment using PSO Inproceedings
In: Unmanned Systems Canada, pp. 1–12, 2017.