Kim, J.

Humanoid Crawling

[Improving the Crawling of a Humanoid Robot]

   

This semester project aims at improving the crawling of a humanoid robot based on contact feedback. I did experiments in the step down environment which acts on the forelimbs or the hips.
At first, I used central pattern generators (CPGs) which are neural networks located in the spine of vertebrates with the rhythmic patterns controlling locomotion. And also I took dynamical systems theory which allowed me to build general design methodologies for such controllers. For dynamical system in iCub, I optimized parameters with optimization algorithm PSO. Secondly, I integrated sensory feedback in the system and simulated four different experiments. Finally, I compared the results and drew conclusion on the project.
 

 

 

 

I compared four experiments in terms of a force in left and right hand and trajectory of robot

  • Without Feedback

  • With Feedback, but only feedback to joint angles of elbows

  • With Feedback, fixed feedback to joint angles of both elbows and hips

  • With Feedback, adaptive feedback to joint angles of both elbows and hips