#1: Putting
Humans in the Robot Loop – Game Changer
In these unique
times, all things ‘robot’ have begun to move very fast. What business has been
resisting about robots for the last decade is fast becoming a priority. Robots
previously considered as job killers, all of a sudden look like a brilliant
solution to those tasks dull, dangerous, dirty, and toxic. A crisis will have
that effect.
The point is
that we now need more robots working as fast, efficiently and as effectively as
possible. However, the truth is that the world remains a complicated place for
a robot. There are problematic times when even a robot needs a helpful human
hand. We now realize that injecting human intelligence by positioning a ‘human
in the robot loop’ makes a big difference. The requirements for a ‘live’ human-robot
interface link is proving to be landscape changing in a positive way to
successful robot deployments.
Being able to
inject human intelligence into and through a robot via a human-robot interface
link especially at the right moment or a critical moment has been found to be
critical and highly beneficial. It may be as simple as helping get a robot get back
on its ‘map’, resolving the getting around an unforeseen impediment or obstacle
or taking over a conversation when an AI-powered retail robot has run out of pre-programmed
knowledge and expertise.
Millions of
robots are already deployed. And, the number will continue to grow. There are
those that predict that robots will at some point outnumber cell phones as the
ubiquity of robots increases in the newly emerging economic and social fabric. At
present, however, we constantly hear that the robots are not ready for prime
time. And, to a great extent, that is true. Reality still does meet
expectations. We expect a lot of our robots. For both robot developers and
users alike, the stakes are high. Artificial intelligence, machine learning, and
deep learning remain essential elements in future robot-based solutions. Adopting
the benefits of a ‘human-robot interface link’, a ‘human in the loop’ with the
robot via cloud-based software offers an immediate and powerfully functional solution
in support of the demand for rapidly expanding the use and deployment of
robots.
#2: Cloud-based
Robotics Software: Setting the Stage for
Robot Ubiquity – Game Changer
Robot
developers are fast coming to understand that relying on the on-board computing
power of their hardware platforms, thinking that they can provide fully
comprehensive, fully autonomous multi-purpose, multi-functional robots is not
within their current grasps. The increasing sophistication of current robots is
primarily the result of access to powerful cloud-based computing and software.
As a result, a whole new class of software and services providers has evolved,
focused on the creation of ‘cloud-based robotics’ software platforms designed
to meet the increasing needs for rapid application development, monitoring,
controlling and collecting data that analyzes the use of robots in fleets and
at scale.
Cloud-Based
robotics software will mature in at least these three ways.
A. Software and services that will allow
robot developers to focus their engineering talent and resources on their
unique platform attributes while looking to off-the-shelf software to augment
their platforms with the non-unique attributes. Using this class of software will
lower developmental costs, advance speed to market and increase the reliability
and thus the ROI of the robotic platforms.
B. Introduction of Robot Access
Interface Layer (RAIL) software allows ‘the common person’ to use and
control robots and create their own personal applications. Controlling the
attributes of robot behavior has until recently remained beyond the reach of
the population at large. But that is changing as software that can be placed on
a robot and interface with its primary functionalities such as speaking,
moving, interfacing with other applications, and interfacing with the IOT
devices that control homes and monitor health.
C. Software that ushers in an entirely
new concept of robots. Robots that do not need to be embodied as hardware
devices on wheels in order to be of service and value. There are now soft
robots. If you can imagine an animated, avatar style robot creature that is
itself AI smart and is very much as capable of interaction as a hardware-based
robot. In this instance we have animated creatures on a screen that are
sensitive to touch, can recognize faces, recognize emotions, and dialogue in an
engaging fashion. These robot creatures appear and act as if they are
themselves alive and you sense that they seem to recognize that you actually
exist. More importantly, delivered via information style kiosks …Mirror, Mirror
on the wall…vibrantly animated on reactive flexible robot arms these robots are
scalable in a future world environment that otherwise if all comes to pass, would
be awash in mechanical robots running all over the place and into each other.
#3: Coming
Sub 20ms Network Latency – A Game Changer
On April 23rd,
2020 the U.S. FCC approved the allowance of WiFi 6. Increasing the WiFi
spectrum means up to 4 times more capacity, 40% increase in data throughput, and
increased multi-streaming capacity. Adding 5G telecommunications and network
slicing capabilities of software-defined networks, we are pressing to network
latency speeds that will challenge human neural networks in speed and thus on
to ’seamless’ human-robot communications.
For those of
us that have been working in ‘robotics’ these times are proving to be the most
energizing yet when you combine the role robots are playing today in fighting
the COVIOD-19 virus and the anticipated role that robots will play in our post
crisis world.
Michael D.
Radice is Chairman of the Technology Advisory Board for ChartaCloud ROBOTTECA, www.robotteca.com and www.chartacloudrobotics.com Mike can be reached by e-mail at mike@chartacloud.com .
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