The College of Education for Pure Sciences at the University of Basrah  discussed a master’s thesis on trajectory planning for a self-propelled robot based on the swarm intelligence algorithm (locust algorithm).
The thesis presented by the researcher (Asmaa Sharif Juweed) included planning the path in two environments, stationary and mobile, using the locust algorithm and comparing the results with the ant colony intelligence algorithm, and it showed superior results in both time and cost in a number of different complex environments.
The locust algorithm has also been developed in the field of path planning, adding a bias in certain proportions towards the target, improving the winding resulting path of locust behavior (jumping), and introducing a new technique to smooth the resulting path to make it suitable for the robot's movement.
The algorithm has also been developed to run on multi-core processors to obtain several paths to increase the speed of the algorithm in making the right decision when the robot encounters a moving obstacle.