Learning Locomotion Gait of Lattice-Based Modular Robots by Demonstration
نویسنده
چکیده
We explore supervised learning for a collective motion of lattice based modular robots that can access only local information. In our proposed learning algorithm, stable locomotion gaits of small size configurations are given to modules by human demonstration. Support vector machine and regularized least square are used to train the manually data given, and performances are compared. We show our method scales in various configurations.
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تاریخ انتشار 2009