Home /Research /Multiphase Trajectory Generation for Planar Biped Robot Using Direct Collocation Method
LOCOMOTION

Multiphase Trajectory Generation for Planar Biped Robot Using Direct Collocation Method

Yubin Liu, Shuai Heng, Xizhe Zang, Zhenkun Lin, Jie Zhao

Year
2021
Citations
6
Access
Open access

Abstract

Stability and energy efficiency are the main focuses in the bipedal robot field. In this paper, we apply a multiphase gait, which is different from the widely used two-phase gait, to improve the stability at the moment, when a biped robot transfers from the double support phase to the single support phase. Then, we create dynamic equations with contact forces in each phase using Lagrangian formulation. Furthermore, the direct collocation method is utilized to generate the optimal trajectory toward both stability and energy efficiency. Finally, the comparison between multiphase gait and two-phase gait is performed with numerical simulations. The results prove that multiphase gait increases the stability margin in the cost of slightly decreasing energy efficiency. Besides, both gaits show a similar human-like characteristic in hip height variation during walking.

Keywords

GaitControl theory (sociology)TrajectoryCollocation (remote sensing)Stability (learning theory)RobotZero moment pointComputer sciencePhase (matter)Mathematics

Related papers

Browse all LOCOMOTION papers