Handling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without
human intervention in real-world environments that have not been
specifically engineered for them. These environments are
characterized by the pervasive presence of uncertainty: the need to
cope with this uncertainty constitutes a major challenge for
autonomous robots. In this note, we discuss this challenge, and
present some specific solutions based on our experience on the use of
fuzzy logic in mobile robots. We focus on three issues: how to
realize robust motion control; how to flexibly execute navigation
plans; and how to approximately estimate the robot's location.
Handling uncertainty in control of autonomous robots.
In: A. Hunter and S. Parsons, eds,
Uncertainty in Information Systems
LNAI 1455 (Springer, DE, 1998) pp. 198-224.
: M. Wooldridge and M. Veloso, eds,
Artificial Intelligence Today,
LNAI 1600 (Springer, DE, 1999) pp. 381-408.