GeckoSystems, an Autonomous Mobile Robot Co., Partnering with AI Safety Certification Firm verify the comprehensive safety of its man-rated, servant class AI mobile service robots (MSRs).

Jan 28, 2018 OTC Disclosure & News Service - Conyers, GA - GeckoSystems Intl. Corp. (Pink Sheets: GOSY | announced today that it has partnered with Franklin Research Labs (FRL), a not-for-profit artificial intelligence (AI) safety certification firm, to verify the comprehensive safety of its man-rated, servant class AI mobile service robots (MSRs). For over twenty years, GeckoSystems has dedicated itself to development of "AI Mobile Robot Solutions for Safety, Security and Service(tm)."

FRL is an independent third-party accreditation entity, founded by Dr. D. Michael Franklin in 2017 as an extension of over a decade of research work for clients as a for-profit corporation, that tests and validates the ethical and moral safety measures embedded in complex AI architectures to determine if the AI is "using common sense regarding safety" in its usage. FRL also works to ensure that reasonable safety considerations have been implemented in autonomous mobile robots, embodied AI, and trusted personal agents to verify safe operation, limited risk, protected data exchanges, and prevention of autonomous actions that may endanger human life, human interests, or secured data or information.

"For nearly a year, we have been in serious discussions with GeckoSystems CEO, Martin Spencer, regarding the importance of complete safety for artificial intelligence (AI) development and usage. Particular emphasis is focused on all forms of high level autonomy MSRs whether they are self-driving (or driverless) cars, delivery robots, companion robots or other AI savants unethically biased to favor or diminish any demographic population segment. I am personally very pleased to be working with them regarding AI ethics implementation and effectuation in real world environments," reflected Dr. D. Michael Franklin, CEO, FRL.

"When I first noted of Dr. Franklins sincere interest in safety for AI and/or robots nearly a year ago, I immediately asked him out to lunch upon learning he was also in the Atlanta, GA, metropolitan area to measure more clearly his commitment to AI and robot safety. Due to his superb qualifications and longtime practice in this area, it is very satisfying for me to make this announcement," observed Spencer.

Earlier this month, Dr. Franklin and one of his assistants picked up two BaseBot(tm) mobile robot prototypes from GeckoSystems R&D lab in Conyers, GA to begin their review process.

GeckoSystems BaseBots are MSRs with sufficient AI navigation software, sensor Field of View (FOV) and locomotion to have a loose crowd level of self-navigation such that the MSR never collides with any obstacle --whether mapped or moving-- as in dynamic crowds of people in public venues such as hotels, retail stores, warehouses, factories, hospitals, long term care facilities and private homes.

"We have worked, and continue to work, to develop and sell AI mobile service robots (MSRs) that are first and foremost, safe! With more and more cost effective, utilitarian robots probable with our suite of AI mobile robot solutions, I am also pleased that as the Service Robotics industry begins to offer real products to eager markets, our capabilities and their cost-effective benefits are being recognized. Our 1300+ shareholders can continue to be confident that in addition to MSR sales, we expect to be signing numerous multi-million-dollar licensing agreements this year to further substantiate and delineate the reality that GeckoSystems will earn significant revenues to further increase shareholder value and ROI," concluded Spencer.

About Franklin Research Labs, LLC

Franklin Research Labs was founded to address the growing concerns of the rapid deployment of artificially intelligent agents within the human realm. These agents may represent computationally intelligent algorithms that making decisions in the place of human agents, autonomous mobile robots that move or interact with human beings in real-world operations, or personal data agents that act on behalf of their human agent counterparts to conduct business, exchange information, or act as a proxy in any manner within the digital world. Dr. Franklin has been at the forefront of strategic interactions and computational intelligence helping to push the field further. Having worked for clients for a number of years as their consultant on such matters it was determined that there was a need for a not-for-profit research and certification business that could help customers, protect human agents, conduct research on AI-related safety issues, and certify AI as safe (e.g., they protect human agents, protect data and information, protect against emergent behavior or anomalous inputs, etc.) FRL seeks to merge the worlds of academic research, cutting edge industrial innovation, and entrepreneurial pursuits to ensure a safe future for embodied artificial intelligence. Dr. Franklin has a Masters and PhD in Computer Science specializing in Artificial Intelligence, Computational Intelligence, Robotics, and Machine Learning. He is a published author in many related conferences and journals and works with large corporations, national laboratories, and start-ups to apply AI in meaningful, powerful, and safe ways.

About GeckoSystems:

GeckoSystems has been developing innovative robotic technologies for nineteen years. It is CEO Martin Spencer's dream to make people's lives better through AI robotic technologies.

The safety requirement for human quick WCET reflex time in all forms of mobile robots:

In order to understand the importance of GeckoSystems' breakthrough, proprietary, and exclusive AI software and why another Japanese robotics company desires a business relationship with GeckoSystems, its key to acknowledge some basic realities for all forms of automatic, non-human intervention, vehicular locomotion and steering.

Laws of Physics such as Conservation of Energy, inertia, and momentum, limit a vehicles ability to stop or maneuver. If, for instance, a cars braking system design cannot generate enough friction for a given road surface to stop the car in 100 feet after brake application, thats a real limitation. If a car cannot corner at more than .9g due to a combination of suspension design and road conditions, that, also, is reality. Regardless how talented a NASCAR driver may be, if his race car is inadequate, hes not going to win races.

At the same time, if a car driver (or pilot) is tired, drugged, distracted, etc. their reflex time becomes too slow to react in a timely fashion to unexpected direction changes of moving obstacles, or the sudden appearance of fixed obstacles. Many car "accidents" result from drunk driving due to reflex time and/or judgment impairment. Average reflex time takes between 150 & 300ms.

In robotic systems, "human reflex time" is known as Worst Case Execution Time (WCET). Historically, in computer systems engineering, WCET of a computational task is the maximum length of time the task could take to execute on a specific hardware platform. In big data, this is the time to load up the data to be processed, processed, and then outputted into useful distillations, summaries, or common-sense insights. GeckoSystems' basic AI self-guidance navigation system processes 147 megabytes of data per second using low cost, Commercial Off The Shelf (COTS) Single Board Computers (SBC's).

Highly trained and skilled jet fighter pilots have a reflex time (WCET) of less than 120ms. Their "eye to hand" coordination time is a fundamental criterion for them to be successful jet fighter pilots. The same holds true for all high-performance forms of transportation that are sufficiently pushing the limits of the Laws of Physics to require the quickest possible reaction time for safe human control and/or usage.

GeckoSystems' WCET is less than 100ms, or as quick, or quicker than most gifted jet fighter pilots, NASCAR race car drivers, etc. while using low cost COTS and SBC's

In mobile robotic guidance systems, WCET has 3 fundamental components.
Sufficient Field of View (FOV) with appropriate granularity, accuracy, and update rate.
Rapid processing of that contextual data such that common sense responses are generated.
Timely physical execution of those common-sense responses.


In order for any companion robot to be utilitarian for family care, it must be a "three-legged milk stool."

(1) Human quick reflex time to avoid moving and/or unmapped obstacles, (GeckoNav(tm):

(2) Verbal interaction (GeckoChat(tm): with a sense of date and time (GeckoScheduler(tm):, and

(3) Ability to automatically find and follow designated parties (GeckoTrak(tm): such that verbal interaction can occur routinely with video and audio monitoring of the care receiver is uninterrupted.

An earlier third-party verification of GeckoSystems AI centric, human quick sense and avoidance of moving and/or unmapped obstacles by one of their mobile robots can be viewed here:

An overview of GeckoSystems' progress containing over 700 pictures and 120 videos can be found at

These videos illustrate the development of the technology that makes GeckoSystems a world leader in Service Robotics development. Early CareBot prototypes were slower and frequently pivoted in order to avoid a static or dynamic obstacle; later prototypes avoided obstacles without pivoting. Current CareBots avoid obstacles with a graceful bicycle smooth motion. The latest videos also depict the CareBot's ability to automatically go faster or slower depending on the amount of clutter (number of obstacles) within its field of view. This is especially important when avoiding moving obstacles in loose crowd situations like a mall or an exhibit area.

In addition to the timeline videos, GeckoSystems has numerous YouTube videos. The most popular of which are the ones showing room-to-room automatic self-navigation of the CareBot through narrow doorways and a hallway of an old 1954 home. You will see the CareBot slow down when going through the doorways because of their narrow width and then speed up as it goes across the relatively open kitchen area. There are also videos of the SafePath(tm) wheelchair, which is a migration of the CareBot AI centric navigation system to a standard power wheelchair, and recently developed cost effective depth cameras were used in this recent configuration. SafePath(tm) navigation is now available to OEM licensees and these videos show the versatility of GeckoSystems' fully autonomous navigation solution.

Kinect Enabled Personal Robot video:

Above, the CareBot demonstrates static and dynamic obstacle avoidance as it backs in and out of a narrow and cluttered alley. There is no joystick control or programmed path; movements are smoother that those achieved using a joystick control. GeckoNav creates three low levels of obstacle avoidance: reactive, proactive, and contemplative. Subsumptive AI behavior within GeckoNav enables the CareBot to reach its target destination after engaging in obstacle avoidance.

More information on the CareBot personal assistance robot:

GeckoSystems stock is quoted in the U.S. over-the-counter (OTC) markets under the ticker symbol GOSY.

GeckoSystems uses as its primary social media site for investor updates. Here is Spencer's profile:

Main number: +1 678-413-9236
Fax: +1 678-413-9247
Source: GeckoSystems Intl. Corp.

Safe Harbor:

Statements regarding financial matters in this press release other than historical facts are "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934, and as that term is defined in the Private Securities Litigation Reform Act of 1995. The Company intends that such statements about the Company's future expectations, including future revenues and earnings, technology efficacy and all other forward-looking statements be subject to the Safe Harbors created thereby. The Company is a development stage firm that continues to be dependent upon outside capital to sustain its existence. Since these statements (future operational results and sales) involve risks and uncertainties and are subject to change at any time, the Company's actual results may differ materially from expected results.


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