grounded representation driven robot design
Grounding robot perceptions is an important problem in Artificial Intelligence. In this paper we show how a new grounding framework guided the development of an improved locomotion engine [3] for the AIBO. The improvements stemmed from higher quality representations that were grounded better than those in the previous system [1]. Since the AIBO is more grounded under the new locomotion engine it makes better decisions and achieves its design goals more efficiently and effectively. Furthermore, a well grounded robot offers significant software engineering benefits since its behaviours can be developed with less effort, and even more importantly they can be debugged and tested on the fly.
robotics perception knowledge representation