A reliable model-based walking engine with push recovery capability

Abstract

Bipedal humanoid robots have complex dynamics and they are intrinsically unstable. Although, bipedal robots have a similar kinematic architecture to a human and they are the most appropriate type of robots to operate in human environments, developing a humanoid robot that has robust is a difficult task. This paper proposes an omnidirectional walking engine that takes into account the push recovery strategies. The walking engine has a hierarchical structure and tries to fade the complexities of the dynamic walking. In addition, it can adapt to another platform with few changes. We enhanced the Linear Inverted Pendulum Plus Flywheel Model to release the height constraint of the center of mass. This enhancement allows a more human-like motion and provides more stable walking. The proposed walking engine has been successfully tested on a real humanoid soccer robot. The experimental results show the performance of this controller to generate stable walking. The average speed of walking that we have achieved was 20cm/sec.