"Sensor Abstractions for Control of Navigation" by Jak Kirman, Kenneth Basye et al.
 

Computer Science

Sensor Abstractions for Control of Navigation

Jak Kirman, Department of Computer Science
Kenneth Basye, Department of Computer Science
Thomas Dean, Department of Computer Science

Abstract

Wepresent an approach to building hlgh-level control systems for robotics based on Bayesian decision theory. We show how this approach provides a natural and modular way of integrating sensing and planning. We develop a simple solution for a particular problemas an illustration. Weexaminethe cost of using such a model and consider the areas in which abstraction can reduce this cost. Wefocus on one area, spatial abstraction, and discuss the design issues that arise in choosing a spatial abstraction. Finally, wediscuss an abstraction that we have used to solve problems involving robot navigation, and give a detailed account of the mapping from raw sensor data to the abstraction.