Title :
Evolutionary robotics: The next-generation-platform for on-line and on-board artificial evolution
Author :
Kernbach, S. ; Meister, E. ; Scholz, O. ; Humza, R. ; Liedke, J. ; Ricotti, L. ; Jemai, J. ; Havlik, J. ; Liu, W.
Author_Institution :
Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart
Abstract :
In this paper we present the development of a new self-reconfigurable robotic platform for performing on-line and on-board evolutionary experiments. The designed platform can work as an autonomous swarm robot and can undergo collective morphogenesis to actuate in different morphogenetic structures. The platform includes a dedicated power management, rich sensor mechanisms for on-board fitness measurement as well as very powerful distributed computational system to run learning and evolutionary algorithms. The whole development is performed within several large European projects and is open-hardware and open-software.
Keywords :
control system synthesis; evolutionary computation; learning (artificial intelligence); multi-robot systems; autonomous swarm robot; dedicated power management; evolutionary algorithms; morphogenetic structures; on-board fitness measurement; powerful distributed computational system; self-reconfigurable robotic platform; sensor mechanisms; Biological system modeling; Computational modeling; Hardware; Humans; Orbital robotics; Organisms; Parallel robots; Robot sensing systems; Sensor phenomena and characterization; Space exploration;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983066
