This talk will focus upon CajunBot, an autonomous robotic system that competed in the 2005 DARPA Grand Challenge. In the challenge, the system had to navigate a course composed of various terrains and obstacles. An examination of the various subsystems of CajunBot reveals that the system employed a mix of embodied and more traditional approaches to solve the problems at hand. On this basis, it will be argued that traditional approaches and embodied approaches should be viewed as complimenting one another, rather than competing against each other.