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),doi: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...
Steyven, A., Hart, E. & Paechter, B. (2016). Understanding environmental influence in an open-ended evolutionary algorithm. In Parallel Problem Solving from Nature – PPSN XIV, 921-931. doi:10.1007/978-3-319-45823-6_86. ISBN 978-3-319-45822-9
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...
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. ISBN 978-1-4503-3488-4
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
Capodieci, N., Hart, E. & Cabri, G. (2013). Idiotypic networks for evolutionary controllers in virtual creatures. In Sayama, H., Rieffel, J., Risi, S., Doursat, R. & Lipson, H. (Eds.). Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems, 192-199. doi:10.7551/978-0-262-32621-6-ch032
We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respective...
Capodieci, N., Hart, E. & Cabri, G. (2013). Artificial Immune System driven evolution in Swarm Chemistry. In Proceedings of IEEE SASO 2014, 40-49. doi:10.1109/SASO.2014.16
Morphogenetic engineering represents an interesting field in which models, frameworks and algorithms can be tested in order to study how self-* properties and emergent behavio...
Hart, E., Ross, P., Webb, A. & Lawson, A. (2003). A role for immunology in 'next generation' robots. doi:10.1007/b12020. ISBN 978-3-540-40766-9
Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process...
Webb, A., Hart, E., Ross, P. & Lawson, A. (2003). Controlling a simulated Khepera with an XCS classifier system with memory. ISBN 9783540200574
Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of act...
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P. & Morgavi, G. (2003). Requirements for getting a robot to grow up. ISBN 9783540200574
Hart, E., Steyven, A. & Paechter, B. (2014). 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. doi:10.1145/2739480.2754688. ISBN 978-1-4503-3472-3
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...
Steyven, A., Hart, E. & Paechter, B. (2016). 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. doi:10.1145/3071178.3071232. ISBN 9781450349208
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...
Capodieci, N., Hart, E. & Cabri, G. (2016). Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems. 11(2), 1-25. doi:10.1145/2897372. ISSN 1556-4665
Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal wi...
Swarm robotics is a special case within the general field of robotics. The distributed nature makes it...