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

Date

2011-01-29

Author

Yuksel, Basak
Leblebicioğlu, Mehmet Kemal

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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.

Subject Keywords

Walking pattern classification, Biped locomotion, Uneven floor walking

URI

https://hdl.handle.net/11511/52658

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. Yuksel and M. K. Leblebicioğlu, “Towards the Enhancement of Biped Locomotion and Control Techniques - Walking Pattern Classification,” 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52658.