| Summary: | 碩士 === 國立成功大學 === 機械工程學系 === 86 === Most robot systems used in the industry today are programmed
specifically for the task they perform. To increase the
flexibility of robots itis desirable to utilize visual feedback
information to adapt its action to changes in the
environment. Active vision is good to imitate human visual
behavior through a visual servo system and stereo cameras. The
objective of this research is to apply a active vision
system to grasping a moving target.
In this paper, we designed and constructed a binocular robot
head as a visual servo mechanism, and presented
structure of a active vision integrated robotic
system. In order to track a moving target smoothly, gray
theory will be applied to predict the trajectory of the target.
Finally, the theoretical results will be experimentally
verified.
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