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?
One way to keep a Formula One racing team moving at breakneck speed in the pit and at the test facility is to bring CAD drawings of the racing vehicleís parts down to the test facility and even out to the track.
Most of us would just as soon step on a cockroach rather than study it, but thatís just what researchers at UC Berkeley did in the pursuit of building small, nimble robots suitable for disaster-recovery and search-and-rescue missions.
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