This paper describes an evolutionary simulation for goal-directed bipedal locomotion using a genetic algorithm. It includes tilt-sensors that adjust dynamic springs and point masses forming structures made of flexible tetrahedral modules. Chaotic dynamics from a central pattern generator are tamed and exploited by evolution. A mathematical representation of the vestibular sense of tilt is associated with arbitrary springs, enabling bipedalism. This sense is embodied and evolves with motor control.