Abstract

This paper addresses a gait generation problem for the compass-type biped robot on periodically unlevel grounds. We first derive the continuous/discrete compass-type biped robots (CCBR/DCBR) via continuous/discrete mechanics, respectively. Next, we formulate a optimal gait generation problem on periodically unlevel grounds for the DCBR as a finite dimensional nonlinear optimization problem, and show that a discrete control input can be obtained by solving the optimization problem with the sequential quadratic programming. Then, we develop a transformation method from a discrete control input into a continuous zero-order hold input based on the discrete Lagranged’Alembert principle. Finally, we show numerical simulations, and it turns out that our new method can generate a stable gaits on a periodically unlevel ground for the CCBR.

Highlights

  • Numerous work on humanoid robots have been done via various approaches in the fields of robotics and control theory until now

  • We have focused on discrete mechanics and considered its applications to control theory

  • This paper aims at gait generation for the compass-type biped robot on periodically unlevel grounds which are more complex than flats and slopes from the standpoint of discrete mechanics

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Summary

INTRODUCTION

Numerous work on humanoid robots have been done via various approaches in the fields of robotics and control theory until now. In [29], [30], [31], [32], we have considered a gait generation problem for the compass-type biped robot and confirmed that the proposed method can generate stable gaits on flats and slopes. This paper aims at gait generation for the compass-type biped robot on periodically unlevel grounds which are more complex than flats and slopes from the standpoint of discrete mechanics.

DISCRETE MECHANICS
Setting of compass-type biped robot
Setting of periodically unlevel grounds
Gait generation problem for the DCBR
Transformation to continuous-time zero-order hold input
Problem formulation
Simulation results
CONCLUSIONS
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