Adept's new Lynx mobile robot, a self-navigating AIV, is designed to move material from point to point in environments that may include confined passageways and dynamic and peopled locations. The Lynx system supports payloads of up to 60kg, utilizes digital maps for localization, and manages power and self-charging operations. (Source: Adept Technology)
NadineJ, Not sure I can answer your specific questions but here are key points that relate to those:
"Natural feature" navigation used to deliver goods throughout a facility. Uses sensor input to determine location within the environment.
Deployment time less than competing technologies. Users map the area of operation. Claim is that "productive operations can be implemented in as little as a fraction of a day" depending on size/complexity of layout.
After deployed, asset is capable of managing real-time changes in environment. This enables vehicle to handle "exceptions" which is key departure from traditional forms of navigation.
One of the key concepts of this technology is its ability to map out the floor plan of the facility and and sense, learn and map its environment versus relying on beacons or magnetic strips in the floor. That feature might be useful in other vehicles but it is targeting the plant environment.
Wow, this is really cool and a great application of this kind of technology and from the looks of the photo, they are quite sleek looking. And I imagine this is the kind of work that is painstaking for a human and could actually help a human worker be more efficient and do other things while the robot does the annoying part of the job. I also wonder if this kind of self-driving technology could have an application for self-driving cars?
The 2014 Ig Nobel Prize in Physics was awarded to Dr. Kiyoshi Mabuchi and his team members for their work measuring the slipperiness of banana peels. Turns out they're slipperier with the yellow side up.
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