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Development of a Visually-Guided Autonomous Underwater Vehicle
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wettergreen, David Gaskett, Chris Zelinsky, Alex |
| Copyright Year | 1998 |
| Abstract | We are developing autonomous underwater vehicles for exploration and inspection tasks. Our objectives are to enable these submersible robots to autonomously search in regular patterns, follow along fixed natural and artificial features, and swim after dynamic targets. We have developed a method of visually-guiding autonomous land vehicles using correlationbased feature tracking to follow targets of interest. We have used this method to fixate on visual features and generate motion commands for the robot. We propose to use feedback from the motion of the visual feature as reinforcement in a network that learns stable control. We are now applying these techniques to the control of our underwater vehicle, Kambara. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.syseng.anu.edu.au/rsl/rsl_papers/98oceans.sub.dsw.pdf |
| Alternate Webpage(s) | http://users.cecs.anu.edu.au/~rsl/rsl_papers/98oceans.sub.dsw.pdf |
| Alternate Webpage(s) | http://wwwsyseng.anu.edu.au/rsl/rsl_papers/98oceans.sub.dsw.pdf |
| Alternate Webpage(s) | http://chris.gaskett.com/papers/oceans98.pdf |
| Alternate Webpage(s) | http://users.cecs.anu.edu.au/~kambara/3-Results/Publications/98oceans.sub.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Autonomous robot CDISC ADAS-Cog - Commands Summary Score Drug vehicle Feedback Motion estimation Robot (device) |
| Content Type | Text |
| Resource Type | Article |
