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GeckoSystems uses proprietary sensor fusion technologies in companion robot

Published on January 21, 2010 at 5:21 AM · No Comments

GeckoSystems Intl. Corp. (PINKSHEETS: GCKO) announced today that their suite of sensor fusion technologies is instrumental in their ongoing world's first in home personal companion robot trials for elder care. GeckoSystems is a dynamic leader in the emerging mobile robotics industry revolutionizing their development and usage with "Mobile Robot Solutions for Safety, Security and Service™."

"We use multiple layers of sensors and sensor systems to achieve what some describe as 'actionable situational awareness.' For example our CareBots™ are capable of powering down unnecessary systems to lengthen battery life while grandma sleeps, and then power back up automatically should she, for example get out of her bed in the middle of the night. The CareBot 'watches over' the care receiver using a scientifically developed fusion of sonar, active infrared, passive infrared, etc. to enable the CareBot to be aware of the care receiver's movements such that GeckoTrak™ can guide GeckoNav™ to stay proximate to grandma such that GeckoChat™ can have verbal interaction with her. The GeckoSuper™ then determines whether and/or when to automatically notify the caregiver that grandma is 'up and about at 2:30A' and may need the care giver to look in personally, either over the video camera, or with a physical visit," stated Martin Spencer, President/CEO of GeckoSystems.

"GeckoSystems has been a top pioneer in the field of low cost sensor fusion technology. We were extremely pleased to learn last year from Frost & Sullivan's report that our internally developed sensor fusion technologies have application in many significant markets other than the mobile service robot marketplace. These important insights will allow us to license our proprietary sensor fusion technologies to many firms outside of the emerging mobile robotics industry and increase ROI for our investors."

According to Wikipedia: "Sensor fusion is the combining of sensory data or data derived from sensory data from disparate sources such that the resulting information is in some sense better than would be possible when these sources were used individually."

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