All seminars are held at the Department of Automatic Control, in the seminar room M:2112B on the second floor in the M-building, unless stated otherwise.
Seminar by Achilleas Santi Seisa: Edge Connected Drones for Autonomous Collision-Free Mission
Place: Seminar Room KC 3N27 at Dept. of Automatic Control, LTH
Contact: johan [dot] eker [at] control [dot] lth [dot] se
Save event to your calendar
The Department of Automatic Control is happy to announce a seminar by Achilleas Santi Seisa.
When: 25/4 10:30-11:00
Where: Seminar Room KC 3N27 at Dept. of Automatic Control, LTH
Speaker: Achilleas Santi Seisa, Luleå University of Technology
Title: Edge Connected Drones for Autonomous Collision-Free Mission
Abstract: Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly popular in recent years. Controlling the trajectory of UAVs using sophisticated controllers, such as Model Predictive Control (MPC), offloaded to edge computing introduces advantages and challenges. One advantage of offloading the control of UAV trajectory to edge computing is that it allows for faster and more efficient processing of data. Another benefit of offloading control to edge computing is that it can help to reduce the computational load on the UAV's onboard systems, which can extend its battery life and increase its overall efficiency. Additionally, offloading control to edge computing can enable more complex and sophisticated algorithms to be used, which can improve the accuracy and precision of UAV trajectory control. However, there are also some challenges associated with controlling UAV trajectory from controllers offloaded to edge computing, such as the need for reliable and high-speed network connections. Overall, offloading control of UAV trajectory to edge computing, especially for multi-agent systems, can offer significant benefits, but it is important to carefully consider the specific application and requirements.
Bio: Ph.D Candidate at Luleå University of Technology, working on semi-autonomous remote aerial manipulation. Interested in robotics, control systems and cloud/edge computing, with industrial experience in automation and academic experience in robotic manipulation, mobile robots,and control systems. Current research is focused on cloud/edge computing architectures for robotic applications and aerial manipulation autonomy components.