A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
State Generation Method for Humanoid Motion Planning Based on Genetic Algorithm
2008
International Journal of Advanced Robotic Systems
A new approach to generate the original motion data for humanoid motion planning is presented in this paper. And a state generator is developed based on the genetic algorithm, which enables users to generate various motion states without using any reference motion data. By specifying various types of constraints such as configuration constraints and contact constraints, the state generator can generate stable states that satisfy the constraint conditions for humanoid robots.To deal with the
doi:10.5772/5768
fatcat:m2prov3cxne2bnvxwgodibr4xy