AI Robotic Technologies - Controls and Sensors

The diagram at right shows how
various AI robotic systems report
to AI Primary systems.

Click the thumbnail at right to view a larger chart.
Each technology name below links to a page
that gives more detail.

GeckoSystems hardware and software architecture may be readily extended to interface with virtually any embedded system presently known. The low level technology set is used for "machine to machine" interface or M2M. Low level applications take data from non-computerized sources and transfer it to higher level applications for processing to create a state of AI awareness. The upgradeable modular design of GeckoSystems moblie robots means that the the CareBot™ of today will not be obsolete in 2-3 years since it can always be readily upgraded as lower cost and more robust electronics and software becomes available.

GeckoSPIO™  (Sensor Power Input Output) controls the power output to each wheel of the device running SafePath navigation, enabling it to maintain the target destination identified by GeckoOrient™ while compensating for uneven surfaces or avoiding static or dynamic obstacles.

Other lower level technologies are:

GeckoMotorController™- A motor power train control governed by GeckoSPIO™.

GeckoImager™ - A Sensor fusion vision system that creates a real time image of the Mobile Robot's environment.

GeckoOrient™ - Enables autonomous navigation and obstacle avoidance by integrating various methods of determining physical location and relating it to the desired location.

GeckoSteer™ - An automated steering control created specifically for the SafePath wheelchair. It filters out the effects of tremor and spasticity from joystick or alternative wheelchair controls.

These sensor-fused technologies bring a new level of cost effective situational awareness to cerate the adaptive, intelligent SafePath navigation system, the first truly autonomous navigation system for mobile robots.