Together with several well-known prestigious AI and Robotics labs in Germany, SwarmLab hosted several PostDocs from across the world. This was planned as part of the Postdoc-NeT-AI "Robotics and AI" program by DAAD.
Jens Weise received the Faculty of Computer Science Research Award 2021. Congratulations!
In the same ceremony, Professor Kruse gave the best student research award which is called "Rudolf Kruse Award" to Anne Rother.
Palina Bartashevich successfully defended her PhD thesis. Congratulations on the excellent work!
Simon has received the best student award for his paper "The Dynamic Role Mining Problem - Role Mining in Dynamically Changing Business Environments" which he published at the 13th International Conference on Evolutionary Computation Theory and Applications (ECTA/IJCCI).
Finally after a long time of having only digital meetings, we could meet for the first time since 2020. Many talks, presentations and the highlight was a hackathon. We could even organize a social event in Laser Tag :-)
On Saturday 29th May 2021, we presented three projects from SwarmLab and the Chair of CI at the Long Night of Science 2021, Digital (Lange Nacht der Wissenschaft LNDW21).
Project 1: OVGU Bot (by Xenjia Neufeld)
Project 2: CIcker - Season 1
Project 3: oTToCar
to be uploaded
In preparation for the long night of science 2021 (Digital), we made a movie from our CIcker Project Season 1:
Our robotic team "oTToCAR" successfully took part in the Carolo-Cup 2021.
The competition took place under special circumstances caused by the ongoing Corona pandemic. The team performed the driving @Home and received the 4th place in the Basic-Cup at Carolo-Cup@Home.
Further details are available in the dedicated article written by the team.
We are starting a blog about our new Robotic Game AI platform "CIcker". In this blog, we will regularly post about this project, which we call it CIcker Season 1.
The goal of this project is to let AI play against a human player. This project is initiated by three students who visited the robotic activities at SwarmLab and visited the course Computational Intelligence in Games.
This is called Season 1, since in this season we will have AI against human. In Season 2, we aim to have AI against AI.
Mahrokh and Jens presented their PhD programs at the doctoral symposium of the faculty of computer science. Jens received the best presentation award:
Rudolf Kruse has edited a newly published book on Synergy and Intelligence: Technical, Ethical and Legal Challenges of the Interaction of Living and Non-Living Entities in the Age of Digitization (SYnENZ).
The Chair of CI has also contributed to this book by the paper:
- Sanaz Mostaghim and Sebastian Mai
- Kooperation mittels Schwarmintelligenz
- In Haux R, Gahl K, Jipp M, Kruse R, Richter O, Herausgeber. Zusammenwirken von natürlicher und künstlicher Intelligenz. Pages 55-69, Wiesbaden: Springer VS; 2021, https://link.springer.com/chapter/10.1007/978-3-658-30882-7_5
Since January 2021, Sanaz has been apoointed as the vice president of member activities at IEEE Computational Intelligence Society (IEEE CIS): https://cis.ieee.org/about/excom-executive-committee
Xenija successfully defended her PhD! Congratulations for this great achievement!!
On Wednesday 4th November, Sanaz gave a keynote talk at the 12th International Joint Conference on Computational Intelligence (IJCCI) 2020.
Title: Collective and Individual Decision-Making in Swarm Robotics
Abstract: Autonomous systems are becoming more and more ubiquitous and their influence on our lives grows every day. In the last years, computational intelligence methods have – more than ever - extensively contributed to the latest scientific breakthrough in developing such intelligent systems. Nevertheless, one major challenge concerns the real-time reactions of autonomous systems to the unknown dynamics in their environments which is considered to be among the grand challenges in this area. This talk is about multi-objective decision making algorithms in Swarm Robotics. It will give an overview about the design issues and the challenges in real-time applications in robotics and computer games. In most of such applications, the decision makers (robots or agents) must find and select one possible optimal solution in a very limited time frame. This is very challenging, when the environment dynamically changes as the decision maker needs to re-optimize and decide on the fly. Multi-objective decision making algorithms in dynamically changing environments will be addressed and applications in Swarm Robotics will be presented. The results on individual and collective decision making are represented.