Robotics technology has recently advanced to the point of being
widely accessible for relatively low-budget research, as well as
for graduate, undergraduate, and even secondary and primary school
education. This lecture provides an example of how to productively
use a cutting-edge advanced robotics platform for education and
research by providing a detailed case study with the Sony AIBO
robot, a vision-based legged robot. The case study used for this
lecture is the UT Austin Villa RoboCup Four-Legged Team. This
lecture describes both the development process and the technical
details of its end result. The main contributions of this lecture
are (i) a roadmap for new classes and research groups interested in
intelligent autonomous robotics who are starting from scratch with
a new robot, and (ii) documentation of the algorithms behind our
own approach on the AIBOs with the goal of making them accessible
for use on other vision-based and/or legged robot platforms.
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