Minchala Ávila, Luis IsmaelAstudillo Salinas, Darwin FabiánVázquez Rodas, Andrés Marcelo2019-02-062019-02-062018978-153865490-30000-0000http://dspace.ucuenca.edu.ec/handle/123456789/31930https://www.scopus.com/record/display.uri?eid=2-s2.0-85058030370&doi=10.1109%2fINTERCON.2018.8526395&origin=inward&txGid=ef910d36df5d1dcb6806c4980521a139This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. © 2018 IEEE.This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. © 2018 IEEE.es-ESBipedControlGaitRobotARTÍCULO DE CONFERENCIA10.1109/INTERCON.2018.8526395