Event Details
Optimizing the Movement Path in a Network of Ground and Aerial Mobile Robots in the Field of Communication and Transportation
Presenter: Reza Doostniae
Supervisor:
Date: Mon, August 21, 2023
Time: 08:00:00 - 09:00:00
Place: via Zoom - please see link below
ABSTRACT
Join Zoom Meeting
https://uvic.zoom.us/j/4800220974?pwd=RXVGT2wvVm5GMmpnYTNtM2lXQzVXQT09
Meeting ID: 480 022 0974
Password: 621397
One tap mobile
+16475580588,,4800220974# Canada
+17789072071,,4800220974# Canada
Dial by your location
+1 647 558 0588 Canada
+1 778 907 2071 Canada
Meeting ID: 480 022 0974
Find your local number: https://uvic.zoom.us/u/kd840uGACH
Abstract:
In digital systems and industries related to the IoT, especially in mechatronic systems and communication industries, as well as land and air transportation, motion sensors and routing systems play a crucial and
indispensable role. The primary goal of this research is to find the optimal movement path while effectively avoiding obstacles . In other words, the path should be chosen in a way that ensures the robot does not collide with any obstacles, whether they are stationary or moving objects .
To achieve this, the shapes of obstacles are extracted, and the need to avoid them is determined. By implementing obstacle avoidance algorithms , we can guarantee safe and reliable navigation for the robot. This paper describes an object-oriented software system for continuous optimization by a new metaheuristic
method, the Bat Algorithm, based on the echolocation behavior of bats. Bat algorithm was successfully used for many optimization problems and there is also a corresponding program in MATLAB.