A Robotic Bipedal Model for Human Walking with Slips Conference Paper

abstract

• 2015 IEEE. Slip is the major cause of falls in human locomotion. We present a new bipedal modeling approach to capture and predict human walking locomotion with slips. Compared with the existing bipedal models, the proposed slip walking model includes the human foot rolling effects, the existence of the double-stance gait and active ankle joints. One of the major developments is the relaxation of the nonslip assumption that is used in the existing bipedal models. We conduct extensive experiments to optimize the gait profile parameters and to validate the proposed walking model with slips. The experimental results demonstrate that the model successfully predicts the human recovery gaits with slips.

name of conference

• 2015 IEEE International Conference on Robotics and Automation (ICRA)

authors

• Song, Dezhen

published proceedings

• 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)

author list (cited authors)

• Chen, K., Trkov, M., Yi, J., Zhang, Y., Liu, T., & Song, D.

citation count

• 24

complete list of authors

• Chen, Kuo||Trkov, Mitja||Yi, Jingang||Zhang, Yizhai||Liu, Tao||Song, Dezhen

publication date

• May 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Conference on Robotics and Automation  Journal

keywords

• Bioengineering
• Clinical Research
• Rehabilitation

Digital Object Identifier (DOI)

• 10.1109/icra.2015.7140084

start page

• 6301

end page

• 6306

volume

• 2015-June

issue

• June

URL

• http://dx.doi.org/10.1109/icra.2015.7140084