GeckoNav™
The company has developed a real-time navigation control system called GeckoNav.   GeckoNav is based on a Fuzzy Hybrid Architecture providing the benefits of both control and reaction within a single framework.   Fuzzy Logic and Subsumption architecture are used to enable the fully autonomous AI personality for the Mobile Service Robot to explore and self map its environment.

GeckoNav runs on a PC to take full advantage of the high processing power available to today's computers.   The GeckoNav Architecture is fully expandable through a variety of standard interfaces.

GeckoNav Capabilities

• Self-mapping long term memory with curiosity for complete definition of areas for mobile robot to operate.
• Efficient path planning algorithms such that the GeckoNav's Auto-pilot/Seek of a user selected endpoint and/or multiple waypoints occurs in real time.
• 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.   By utililizing 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) GeckoNav's AI software architecture enables differing, high count sensor systems synergy.
• Short term AI memory software such that GeckoSystems' sensor fused, scanning CompoundedSensorArray™ may be fully utilized.   Consequently, total cost for sensor systems is dramatically reduced.
• Emergent behavior 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.