@inproceedings{19829, author = {{Miao, Huawei and Ooi, Chia Ching and Wu, Xiaowen and Schindelhauer, Christian}}, booktitle = {{Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10}}, isbn = {{9781605586397}}, pages = {{1299--1304}}, title = {{{Coverage-hole trap model in target tracking using distributed relay-robot network}}}, doi = {{10.1145/1774088.1774365}}, year = {{2010}}, } @inproceedings{19933, author = {{Schomaker, Gunnar and Oberthur, Simon and Kortenjan, Michael}}, booktitle = {{8th IEEE International Conference on Industrial Informatics (INDIN'2010)}}, isbn = {{9781424472987}}, title = {{{Distributed and dynamic resource management for self-optimizing mechatronic systems}}}, doi = {{10.1109/indin.2010.5549647}}, year = {{2010}}, } @book{20182, author = {{Hamann, Heiko}}, publisher = {{Springer}}, title = {{{Space-Time Continuous Models of Swarm Robotics Systems: Supporting Global-to-Local Programming}}}, doi = {{10.1007/978-3-642-13377-0}}, year = {{2010}}, } @inproceedings{20220, author = {{Hamann, Heiko and Schmickl, Thomas and Stradner, Jürgen and Crailsheim, Karl}}, booktitle = {{Proceedings of the IEEE Congress on Evolutionary Computation (CEC'10)}}, pages = {{244----251}}, title = {{{A Hormone-Based Controller for Evolutionary Multi-Modular Robotics: From Single Modules to Gait Learning}}}, doi = {{10.1109/CEC.2010.5585994}}, year = {{2010}}, } @inproceedings{20222, author = {{Schmickl, Thomas and Hamann, Heiko and Stradner, Jürgen and Mayet, Ralf and Crailsheim, Karl}}, booktitle = {{Proc. of the ALife XII Conference}}, pages = {{648----655}}, publisher = {{MIT Press}}, title = {{{Complex Taxis-Behaviour in a Novel Bio-Inspired Robot Controller}}}, year = {{2010}}, } @inproceedings{20223, abstract = {{The semi-automatic or automatic synthesis of robot controller software is both desirable and challenging. Synthesis of rather simple behaviors such as collision avoidance by applying artificial evolution has been shown multiple times. However, the difficulty of this synthesis increases heavily with increasing complexity of the task that should be performed by the robot. We try to tackle this problem of complexity with Artificial Homeostatic Hormone Systems (AHHS), which provide both intrinsic, homeostatic processes and (transient) intrinsic, variant behavior. By using AHHS the need for pre-defined controller topologies or information about the field of application is minimized. We investigate how the principle design of the controller and the hormone network size affects the overall performance of the artificial evolution (i.e., evolvability). This is done by comparing two variants of AHHS that show different effects when mutated. We evolve a controller for a robot built from five autonomous, cooperating modules. The desired behavior is a form of gait resulting in fast locomotion by using the modules' main hinges.}}, author = {{Hamann, Heiko and Stradner, Jürgen and Schmickl, Thomas and Crailsheim, Karl}}, booktitle = {{Artificial Life XII (ALife XII), Odense, Denmark}}, pages = {{773--780}}, publisher = {{MIT Press}}, title = {{{Artificial Hormone Reaction Networks: Towards Higher Evolvability in Evolutionary Multi-Modular Robotics}}}, year = {{2010}}, } @inproceedings{20226, author = {{Hamann, Heiko and Meyer, Bernd and Schmickl, Thomas and Crailsheim, Karl}}, booktitle = {{From Animals to Animats 11}}, isbn = {{9783642151927}}, issn = {{0302-9743}}, pages = {{639--648}}, publisher = {{Springer}}, title = {{{A Model of Symmetry Breaking in Collective Decision-Making}}}, doi = {{10.1007/978-3-642-15193-4_60}}, volume = {{6226}}, year = {{2010}}, } @inproceedings{20258, abstract = {{Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. When providing collective robotic systems with self-organizing principles, we are facing new problems of making self-organization purposeful, self-adapting to changing environments and faster, in order to meet requirements from a technical perspective. This paper describes on-going work of creating such an artificial self-organization within artificial robot organisms, performed in the framework of several European projects.}}, author = {{Kernbach, Serge and Hamann, Heiko and Stradner, Jürgen and Thenius, Ronald and Schmickl, Thomas and Crailsheim, Karl and Rossum, A.C. van and Sebag, Michele and Bredeche, Nicolas and Yao, Yao and Baele, Guy and Peer, Yves Van de and Timmis, Jon and Mohktar, Maizura and Tyrrell, Andy and Eiben, A.E. and McKibbin, S.P. and Liu, Wenguo and Winfield, Alan F.T.}}, booktitle = {{2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns}}, isbn = {{9781424451661}}, title = {{{On Adaptive Self-Organization in Artificial Robot Organisms}}}, doi = {{10.1109/computationworld.2009.9}}, year = {{2010}}, } @article{24282, author = {{Grza̧ślewicz, Ryszard and Kutyłowski, Jarosław and Kutyłowski, Mirosław and Pietkiewicz, Wojciech}}, issn = {{0302-9743}}, journal = {{ICCSA'05: Proceedings of the 2005 international conference on Computational Science and Its Applications}}, title = {{{Robust Undetectable Interference Watermarks}}}, doi = {{10.1007/11424826_55}}, year = {{2010}}, } @inproceedings{27159, author = {{Samara, Sufyan and Schomaker, Gunnar}}, booktitle = {{2010 10th IEEE International Conference on Computer and Information Technology}}, title = {{{Real-time Adaptation and Load Balancing Aware OS Services for Distributed Reconfigurable System on Chip}}}, doi = {{10.1109/cit.2010.304}}, year = {{2010}}, }