With the development of technologies, robots have played an important role in many
fields of the society. They help people to deal with a large amount of work, especially
operate in the extremely dangerous environment instead of people. For a robot,
effective obstacle avoidance is still a challenge in the development of robot. The
existing systems sometimes combine with multi-devices to conquer this challenge so
that the expensive cost has been as a negative factor that cumbers the application of
robot. For this purpose, find a way with the low equipment requirement but still
having the high accuracy is essential. Optic flow as another algorithm coming from
bee vision has been used to help robots avoid obstacles for many years. And it owns
many advantages.
This study presents a system based on the optic flow is developed to avoid obstacle in
the view-field of the robot. The main point in this thesis is to show how the system
works under an assumed environment for robot navigation, and compare the results to
Thomas’ to see whether the low equipment requirement can also achieve the purpose
of avoiding obstacles.
| Identifer | oai:union.ndltd.org:ADTP/246240 |
| Creators | Zhou, L |
| Source Sets | Australiasian Digital Theses Program |
| Detected Language | English |
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