Currently, I am studying generation of swarm behavior with undirected probabilistic graphical models. Such modes are widely used in image processing and statistical physics. The image shows a swarm of 5 (left) and 15 (right) robots converging to a goal area through an obstacle field (Related paper).
A video combining the dynamics of drones can be found here.
Swarming of Aerial Robots with Markov Random Field Optimization
Fernando, Malintha, and Lantao Liu. “Swarming of Aerial Robots with Markov Random Field Optimization.” arXiv preprint arXiv:2010.06274 (2020).
Formation Control and Navigation of a Quadrotor Swarm
M. Fernando and L. Liu, “Formation Control and Navigation of a Quadrotor Swarm,” 2019 International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, GA, USA, 2019, pp. 284-291, doi: 10.1109/ICUAS.2019.8798352.
A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation
Z. Chen, M. Fernando and L. Liu, “A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation,” 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2019, pp. 1-7, doi: 10.1109/AIPR47015.2019.9174584.
Semi-supervised learning framework for knowledge extraction in Cricket domain
C C M T Fernando, W A V S Cooray, T G H Indeewara, D S K Jayasinghe, Subha Fernando, Faculty of Information Technology,University of Moratuwa, Katubedda, Sri Lanka