GeckoSystems, an AI Mobile Robotics Co., Updates 1300+ OTC
Shareholders
CONYERS, GA - July 13, 2017 - InvestorsHub NewsWire -
GeckoSystems Intl. Corp. (Pink
Sheets: GOSY | http://www.GeckoSystems.com/ )
announced today that the company continues to gain traction in the
consumer, professional healthcare and commercial security markets.
For over twenty years, GeckoSystems has dedicated itself to
development of "AI Mobile Robot Solutions for Safety, Security and
Service(tm)."
In the last few months, GeckoSystems has:
Been told by those which management has no reason to disbelieve
that high six figure funding sufficient to build and sell CareBots
for third party evaluation trials will occur in the near term.
Effectuated an NDA, MOU, and LOI agreements with a premier
Chinese mobile service robot firm, Pangolin Robotics. Pangolin is
publicly traded on the Shanghai Stock Exchange. Recently, in
response to their unsolicited, but gracious and complimentary
inquiry, we indicated our sincere interest in working with this
Chinese mobile service robot company, but if and only if, they
agreed to our required Safety Clause NDA. To that end, they
immediately signed our Safety Clause NDA such that our discussions
became of sufficient substance for us to effectuate our second
agreement, a Memorandum of Understanding (MOU), clearly revealing
that both parties believe significant manufacturing and
distribution synergies appropriate for multiple markets would be
garnered by each firm, stated Martin Spencer, CEO, GeckoSystems
Intl. Corp.
Achieved recognition for its eldercare assistant CareBot(tm)
personal robot on a leading senior care website, SeniorCareCorner.com:
CareBot(tm): One of a Kind Family Caregiver for Aging in Place
Seniors http://seniorcarecorner.com/carebot-caregiver-aging-in-place-seniors
Been named not once, but twice, by two different internationally
prestigious market research firms, without any enticement
whatsoever, that in their informed opinion and analysis,
GeckoSystems remains in the top ten in the world in AI mobile
service robot technologies and products.
1. QYResearchReports.com
(@qyresearch) in their "Global Service Robotics Market Research Report" tinyurl.com/y837jo8q
2. Research and Markets (@researchmarkets) in their "Security Robots Market Report tinyurl.com/ya79fsm4
Continued to attain substantive progress against the parties
responsible for naked short selling of GOSY stock for some years
now. Recently, a GA court order was secured to access all phone
records for the last five years from one of the defendants.
Management continues to be surprised regarding Brown Brothers,
Harriman and Company (BBH) present indifference to their inability
to determine where 50,000,000 shares (~24.1% of all freely traded
shares) owned by a long time GOSY shareholder, went.
Majority GOSY shareholders secured Rockdale County, Georgia,
Superior Court jurisdiction over Neil T. Wallace due to an earlier
court decision favorable to him being set aside with a new trial
ordered due to three individually sufficient filing errors by
Wallace.
Artificial intelligence technologies and applications span Big
Data, Predictive Analytics, Statistics, Mobile Robots, Service
Robotics, Drones, Self-driving Cars, Driverless Cars, Driver
Assisted Cars, Internet of Things (IoT), Smart Homes, UGVs, UAVs,
USVs, AGVs, Forward and/or Backward Chaining Expert Systems,
Savants, AI Assistants, Sensor Fusion, Subsumption, etc.
One of our primary software and hardware architecture design
goals has been for our MSR platforms to be extensible such that
obsolescence of the primary cost drivers, the mechanicals, would be
as much as five or more years (or when actually worn out from use).
Consequently, our hardware architecture is x86 CPU centric and all
our AI savants communicate over a LAN using TCP/IP protocols with
relatively simple messaging. This means all systems on the Companys
MSRs are truly Internet of Things (IoT) due to each having a unique
IP address. It is due to our high level of pre-existing, linchpin,
3-legged milk stool basic functionalities that make our suite of AI
robotics technologies so desirable by being readily easy to
upgrade, not only by GeckoSystems, but also third-party developers.
This is the strategic hardware development path that IBM used in
setting PC standards that have enabled cost effective use of
complex, but upgradeable, personal computers for over thirty years
now, observed Spencer.
In the US, GeckoSystems projects the available market size in
dollars for cost effective, utilitarian, multitasking eldercare
social mobile robots in 2018 to be $74.0B, in 2019 to be $77B, in
2020 to be $80B, in 2021 to be $83.3B, and in 2022 to be $86.6B.
With market penetrations of 0.03% in 2018, 0.06% in 2019, 0.22% in
2020, 0.53% in 2021, and 0.81% in 2022, we anticipate CareBot
verbal interaction, auto-follow personal robot sales from the
consumer market alone at levels of $22.0M, $44.0M, $176M, $440.2M,
and $704.3M, respectively. The company is presently securing
funding for manufacturing, marketing and final beta testing of
their CareBot.
We continue to have numerous ongoing joint venture and/or
licensing discussions with those who share the same interest in
using mobile service robots to help others. I am also pleased that
as the Service Robotics industry begins to offer real products to
eager markets our capabilities are being recognized. We remain
completely committed to providing our 1300+ shareholders the ROI
they deserve. They can continue to be confident that we expect to
be signing numerous multi-million-dollar licensing agreements to
further substantiate and delineate the reality that GeckoSystems
will enjoy additional licensing revenues to further increase
shareholder value. With the promised infusion of a high six figure
investment, we continue to gain fuel and traction in this emerging
trillion dollar market," concluded Spencer.
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.
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): http://tinyurl.com/le8a39r)
(2) Verbal interaction (GeckoChat(tm): http://tinyurl.com/nnupuw7) with a sense of date and
time (GeckoScheduler(tm): http://tinyurl.com/kojzgbx), and
(3) Ability to automatically find and follow designated parties
(GeckoTrak(tm): http://tinyurl.com/mton9uh) such that verbal
interaction can occur routinely with video and audio monitoring of
the care receiver is uninterrupted.
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.
1. 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.
2. 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. http://tinyurl.com/nsrx75n
3. 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).
4. 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.
5. 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
6. In mobile robotic guidance systems, WCET has 3 fundamental
components.
a. Sufficient Field of View (FOV) with appropriate granularity,
accuracy, and update rate.
b. Rapid processing of that contextual data such that common
sense responses are generated.
c. Timely physical execution of those common sense
responses.
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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: http://t.co/NqqM22TbKN
An overview of GeckoSystems' progress containing over 700
pictures and 120 videos can be found at http://www.geckosystems.com/timeline/.
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.
GeckoSystems, Star Wars Technology
http://www.youtube.com/watch?v=VYwQBUXXc3g
The company has successfully completed an Alpha trial of its
CareBot personal assistance robot for the elderly. It was tested in
a home care setting and received enthusiastic support from both
caregivers and care receivers. The company believes that the
CareBot will increase the safety and well-being of its elderly
charges while decreasing stress on the caregiver and the
family.
GeckoSystems is preparing for Beta testing of the CareBot prior
to full-scale production and marketing. CareBot has recently
incorporated Microsoft Kinect depth cameras that result in a
significant cost reduction.
Kinect Enabled Personal Robot video:
http://www.youtube.com/watch?v=kn93BS44Das
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:
http://www.geckosystems.com/markets/CareBot.php
GeckoSystems stock is quoted in the U.S. over-the-counter (OTC)
markets under the ticker symbol
GOSY. https://ih.advfn.com/stock-market/USOTC/geckosystems-intl-corp-pc-GOSY/stock-price
GeckoSystems uses http://www.LinkedIn.com as its
primary social media site for investor updates. Here is Spencer's
LinkedIn.com profile:
http://www.linkedin.com/pub/martin-spencer/11/b2a/580
Telephone:
Main number: +1 678-413-9236
Fax: +1 678-413-9247
Website: http://www.geckosystems.com/
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.