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A Hierarchical Behavior-Based Approach to Manipulation Tasks
Z. Wasik and A. Saffiotti
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Abstract
Typical mobile robots can be customized to perform a variety of
different tasks by combining in different ways a set of basic control
modules, or behaviors. By contrast, most current systems for
manipulation are still designed for just one specific task. In this
paper, we propose a hierarchical behavior-based system that can perform
several vision-based manipulation tasks by using different combinations
of the same set of basic behaviors. Behaviors can run concurrently, and
they are arbitrated through ``if-then'' rules. We show experiments
involving object tracking, grasping and placing, both with static and
moving objects.
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