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  • The main focus of the SYMBRION project is to investigate and develop novel principles of adaptation and evolution for symbiotic multi-robot organisms based on bio-inspired approaches and modern computing paradigms. Such robot organisms will consist of super-large-scale swarms of robots, which can dock with each other and symbiotically share energy and computational resources within a single artificial-life-form. The bio-inspired evolutionary paradigms combined with robot embodiment and swarm-emergent phenomena, enable the organisms to autonomously manage their own hardware and software organization. In this way, artificial robotic organisms become self-configuring, self-healing, self-optimizing and self-protecting from both hardware and software perspectives. This leads not only to extremely adaptive, evolve-able and scalable robotic systems, but also enables robot organisms to emerge new, previously unforeseen, functionality. The extension (SYMBRION-Enlarged EU)focuses in the area of large multi-robot simulation and introduces brand novel features for scalability and granularity control. The foreseen added-value consists in a massive performance improvement and elaboration of new techniques for a smooth transition between reality and simulator. This concept allows performing on-board and off-board simulated tests during the research and developmental phases as well as shifting evolutionary processes from reality to simulation and back. Besides that, advanced random-sampling methods will be investigated towards buildup of actuation primitives. This allows optimization of the multi-robot motion control as well as will boost research and experiments in the field of evolutionary techniques. These additional elements will increase the level of achievements of the SYMBRION project related to simulated and real robotic experiments. (en)
  • The main focus of the SYMBRION project is to investigate and develop novel principles of adaptation and evolution for symbiotic multi-robot organisms based on bio-inspired approaches and modern computing paradigms. Such robot organisms will consist of super-large-scale swarms of robots, which can dock with each other and symbiotically share energy and computational resources within a single artificial-life-form. The bio-inspired evolutionary paradigms combined with robot embodiment and swarm-emergent phenomena, enable the organisms to autonomously manage their own hardware and software organization. In this way, artificial robotic organisms become self-configuring, self-healing, self-optimizing and self-protecting from both hardware and software perspectives. This leads not only to extremely adaptive, evolve-able and scalable robotic systems, but also enables robot organisms to emerge new, previously unforeseen, functionality. The extension (SYMBRION-Enlarged EU)focuses in the area of large multi-robot simulation and introduces brand novel features for scalability and granularity control. The foreseen added-value consists in a massive performance improvement and elaboration of new techniques for a smooth transition between reality and simulator. This concept allows performing on-board and off-board simulated tests during the research and developmental phases as well as shifting evolutionary processes from reality to simulation and back. Besides that, advanced random-sampling methods will be investigated towards buildup of actuation primitives. This allows optimization of the multi-robot motion control as well as will boost research and experiments in the field of evolutionary techniques. These additional elements will increase the level of achievements of the SYMBRION project related to simulated and real robotic experiments. (cs)
Title
  • Symbiotic Evolutionary Robot Organisms (en)
  • Symbiotic Evolutionary Robot Organisms (cs)
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  • robotics; evolutionary computation; evolvable and bio-inspired hardware; understanding life (en)
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