Evolving legged robots using biologically inspired optimization strategies
Smith, B, Saaj, CM and Allouis, E (2011) Evolving legged robots using biologically inspired optimization strategies In: IEEE International Conference on Robotics and Biomimetics, 2010-12-14 - 2010-12-18, Tianjin, China.
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Official URL: http://dx.doi.org/10.1109/ROBIO.2010.5723523
When designing a legged robot a small change in one variable can have a significant effect on a number of the robot’s characteristics, meaning that making tradeoffs can be difficult. The algorithm presented in this paper uses biologically inspired optimization techniques to identify the effects of changing various robot design variables and determine if there are any general rules which can be applied to the design of a legged robot. Designs produced by this simulation are also compared to existing robot designs and biological systems, showing that the algorithm produces results which require less power than other robots of a similar mass, and which share a number of characteristics with biological systems.
|Item Type:||Conference or Workshop Item (Paper)|
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|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre|
|Deposited By:||Symplectic Elements|
|Deposited On:||03 Feb 2012 14:06|
|Last Modified:||01 Apr 2013 14:57|
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