Latest News

Our new demo in Mobicom2023 is about creating a robot that can navigate around obstacles all on its own, just by using a camera to see. The robot follows a set path by following a line, and it has a special system that helps it spot obstacles like rocks or objects in its way. When it sees an obstacle, it figures out how to go around it by changing its direction, so it can keep moving without any interruptions.

Paper: [To be appeared]
Github repository: https://github.com/ICONgroupCWC/ObstacleBypassing

Our first demo paper is accepted for Precom2023. It is a demonstration of a semi-autonomous transportation task aided by edge intelligence, which consists of a robotic platform, automated guided vehicle, and edge server with the access to a remote camera.

Link to video: https://www.youtube.com/watch?v=DhCSCCZbuHo
Link to Github repository: https://github.com/ICONgroupCWC/Demo.Percom23/

I have an open research opportunity in federated learning based lifelong machine learning for wireless communication at University of Oulu, Finland. Open position is for one Doctoral Student at Intelligent Connectivity and Networks/Systems (ICON) group in Centre for Wireless Communications (CWC). Interested candidates having experience on machine learning and communication theory are welcome to send the following documents to sumudu.samarakoon@oulu.fi:
- A short statement
- CV
- Transcripts of completed bachelor and master's studies