Andreas Steyven

Andreas Steyven

Dr Andreas Steyven

Lecturer

Biography

Dr Andreas S.W. Steyven is a lecturer in data engineering in the School of Computing. He has established and currently runs the Evolutionary Robotics laboratory (Applied AI lab) to be used for research and teaching.
Andreas graduated from the University of Applied Science in Koblenz, Germany, with a BEng in Electrical Engineering. His bachelor thesis was part of a Siemens research project in wireless automation technology. He also holds a BSc (with Distinction) in Engineering Studies with a focus on embedded systems and signal theory, as well as an MSc in Applied Informatics with a focus on network security and forensics from Edinburgh Napier University. He was awarded a PhD for his work entitled "A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics". Furthermore, he is a trained and certified System and Network Administrator and has held several responsibilities in IT support in the automotive industry.
His research interests lie in biologically inspired computing and robotics, especially in learning in self-organising and self-adaptive systems. Andreas also has an interest in cyber-physical systems, real-time control systems, smart homes and IoT.

News

Events

Date


8 results

Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm

Conference Proceeding
Hart, E., Steyven, A. S. W., & Paechter, B. (2018)
Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. In GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference, (101-108). https://doi.org/10.1145/3205455.3205481
The presence of functionality diversity within a group has been demonstrated to lead to greater robustness, higher performance and increased problem-solving ability in a broad...

Security, privacy and safety evaluation of dynamic and static fleets of drones

Conference Proceeding
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017)
Security, privacy and safety evaluation of dynamic and static fleets of drones. In 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC),https://doi.org/10.1109/dasc.2017.8101984
Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or C...

A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics

Thesis
Steyven, A. S. W. A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/1253630
This thesis investigates several aspects of environment-driven adaptation in simulated evolutionary swarm robotics. It is centred around a specific algorithm for distributed e...

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2017)
An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. In GECCO '17 Proceedings of the Genetic and Evolutionary, (155-162). https://doi.org/10.1145/3071178.3071232
A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. How...

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2016)
Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In Parallel Problem Solving from Nature – PPSN XIV; Lecture Notes in Computer Science, 921-931. https://doi.org/10.1007/978-3-319-45823-6_86
It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear e...

Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication.

Conference Proceeding
Hart, E., Steyven, A., & Paechter, B. (2015)
Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication. In Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15, (169-176). https://doi.org/10.1145/2739480.2754688
Ensuring the integrity of a robot swarm in terms of maintaining a stable population of functioning robots over long periods of time is a mandatory prerequisite for building mo...

The Cost of Communication: Environmental Pressure and Survivability in mEDEA

Conference Proceeding
Steyven, A., Hart, E., & Paechter, B. (2015)
The Cost of Communication: Environmental Pressure and Survivability in mEDEA. In Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15, 1239-1240. doi:10.1145/2739482.2768489
We augment the mEDEA algorithm to explicitly account for the costs of communication between robots. Experimental results show that adding a costs for communication exerts envi...

Information sharing around child protection.

Presentation / Conference
Buchanan, W. J., Uthmani, O., Lewis, R., Steyven, A., Fan, L., Thuemmler, C., …Lawson, A. (2012, June)
Information sharing around child protection. Paper presented at Information Sharing in the Public Sector, Edinburgh
Background This presentation focuses on creating a scaleable, robust and secure information architecture for social and health care. At its core is the sa.FIRE (Secure Analysi...

Current Post Grad projects

Previous Post Grad projects