SafePath™ - the Navigation system of the 21st ce

SafePath™ - the Navigation system of the 21st century.

http://www.geckosystems.com/markets/SafePath.php

GeckoSystems has had a proprietary navigation algorithm since before 1999.  The CareBot's navigation capabilities have always been ahead of the pack and as technology has advanced they have stayed in the lead because the advances in sensors and now depth cameras leverage the GeckoSystems advantage.

Since GeckoSystems' the demo showing migration to the power wheelchair, companies all over the world are looking at it.  GOSY has already committed to a Chinese JV that will help them provide millions of wheelchairs needed for the PRC government's goal of universal healthcare by 2020.

http://www.geckosystems.com/markets/wheelchair.php

GeckoSystems partner ZMP is a cutting edge robotics research firm in Japan - they need it for their RoboCar, but also mentioned wheel chairs an personal assistance robots in the PR that they  authorized for joint release.

More information on current partnerships can be found here:
http://www.geckosystems.com/partners/index.php

"GeckoNav's™ Core Capabilities:

Subsumptive software architecture enabling cognizant navigation for unexpected obstacle (static or dynamic) avoidance while "on path" with the ability to resume path following.

Sensor fusion technology such that the GeckoNav™ is sensor loving. By utilizing multiple sensor systems (like a blind man listening and counting steps while using a cane, uses two senses --tactile and hearing-- to routinely navigate known, and unknown, environments) the GeckoNav's™ AI software architecture enables differing, high count sensor systems synergy.

Short term AI memory software such that GeckoSystems' GeckoImager™ may be fully utilized. Consequently, total cost for sensor systems cost is dramatically reduced.

Emergent behaviors expression (which are not pre-programmed) such as the left/right routine when encountering a dynamic obstacle that moves to the same side that the robot has chosen to use to avoid the now confounding obstacle. The robustness of this emergent behavior is apparent as the robot finally, after several left/right attempts, succeeds in avoiding the dynamic obstacle, and resumes path."

You can get an idea of how it all fits together here:

http://www.geckosystems.com/high_level/

http://www.geckosystems.com/low_level/