Geck­oSys­tems Intl. Corp. (PINKSHEETS: GOSY) announced that their recent inven­tion of the Geck­oIm­ager™, in con­cert with their pro­pri­etary “Mobile Robot Solu­tions for Safety, Secu­rity and Ser­vice™,” enables cost effec­tive retro­fitting of elec­tric wheel­chairs to be “col­li­sion proof.” Geck­oSys­tems is a dynamic leader in the emerg­ing mobile robot­ics indus­try rev­o­lu­tion­iz­ing their devel­op­ment and usage.

The ‘col­li­sion proof’ retro­fit kit we are presently devel­op­ing may be added to most joy­stick oper­ated elec­tric wheelchairs. The wheel­chair occu­pant would sim­ply move the joy­stick in the direc­tion they wish to go and Geck­oNav — in con­cert with mul­ti­ple Geck­oSa­vants™ — would auto­mat­i­cally seek that desired direc­tion while avoid­ing any and all obsta­cles whether sta­tion­ary or moving. We expect the cost to the end user, com­pletely installed, to be only a few thou­sand dol­lars for this height­ened level of safety for not only the occu­pant of the wheel­chair, but also those per­sons around them,” stated Mar­tin Spencer, President/CEO, GeckoSystems.

Geck­oSys­tems’ recently announced Geck­oIm­ager uses sen­sor fusion incor­po­rat­ing struc­tured light machine vision and sonar range find­ing to com­ple­ment GeckoOrient’s™ solid-state com­pass, accelerom­e­ter, and odom­e­try sen­sor fusion. This pro­vides their auto­matic, self-navigation AI soft­ware, Geck­oNav™, with suf­fi­cient and timely data to achieve action­able sit­u­a­tion aware­ness and a result­ing very safe loose crowd level of auton­omy to be “col­li­sion proof.”

“The amount of data that the new Geck­oIm­ager pro­vides is far greater then what can rea­son­ably be col­lected with fixed sen­sors and at a much lower cost than scan­ning laser range find­ing sys­tems that are fre­quently used. Our new Geck­oIm­ager sen­sor fusion sys­tem not only pro­vides timely and action­able sit­u­a­tion aware­ness infor­ma­tion suf­fi­cient for our AI nav­i­ga­tion soft­ware, Geck­oNav, but also sat­is­fies those require­ments at a much lower cost, in both dol­lars and power,” stated Kevin O’Connor, Sr. EE Roboti­cist, Research and Devel­op­ment, GeckoSystems.

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