Multiphase Trajectory Generation for Planar Biped Robot Using Direct Collocation Method

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.

Automated summary

This paper focuses on stability and energy efficiency in bipedal robots, proposing a multiphase gait to improve stability during transitions. Numerical simulations show that the multiphase gait offers better stability but slightly reduces energy efficiency, while also demonstrating human-like characteristics in walking posture variations.