Towards the Enhancement of Biped Locomotion and Control Techniques - Walking Pattern Classification


Yuksel B., LEBLEBİCİOĞLU M. K.

16th International Symposium on Artificial Life and Robotics (AROB 16th '11), Beppu, Japan, 27 - 29 January 2011, pp.918-921 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Beppu
  • Country: Japan
  • Page Numbers: pp.918-921

Abstract

A new walking pattern classification method is proposed for uneven floor walking of 5-link 7 DOF biped robot. This method extracts the patterns as per the stance foot's current floor position and swing foot's transitioning floor conditions during locomotion. When a global path composed of stairs, obstacles, etc. and certain walking parameters, such as the speed of walking and total walking time, are given to the system, the guidance controller unit determines footstep trajectory in terms of step patterns by using a genetic algorithm based optimization technique while ensuring biped's stability criterion. The demonstration of biped for different pattern classes is realized by a dynamic simulator.