Sarah Mellish of Yaskawa Motoman Robotics explains the role of artificial intelligence for robotic order fulfillment:
“Technical innovations in artificial intelligence and robotics have unlocked massive potential for retailers to automate the handling of diverse Stock Keeping Units (SKUs) in the order fulfillment process with human-like flexibility at high speed….”Read More >>
Neocortex artificial intelligence links cyber/digital systems and physical systems of the Industry 4.0 revolution – where software algorithms control machines that are integrated with each other and users.
Neocortex uses a closed loop system, known as cybernetics, to control robots. This embedded system uses sensor data coupled with physical movement, further integrating the Internet of Things.
In the supply chain, the above smart system provides a highly flexible robot cell that operates at maximum speed – matching the utility of semi-skilled labor. The Neocortex-based robotic cell (Neocortex G2R Cell) continues to get smarter with time – adjusting to parts, processes, containers, and orders. Thus, its value increases over time and with use (just like an employee), leading to a SaaS (software as a service) delivery model.
Neocortex SaaS also spans cloud-computing servers.
This broadens the scope and significance of patterns discovered and monitored across the cyber-physical barrier, leading to valuable breakthroughs in advanced analytics of big data: supply chain effectiveness, group learning of robots, introduction of SKUs, quality or vendor problems, damage trends, and customer order satisfaction. This both lowers costs and increases sales.Read More >>
Research and Markets projects that the global warehouse and logistics robot market revenue will grow from $1.9B in 2016 to $22.4B in 2021, and units from 40,000 to 620,000. Research Analyst Manoj Sahi states, “new robotics technologies that could yield a return on investment (ROI) in less time than it took a few years ago.” Two key areas the report points out are the growth of mobile robot platforms and industrial robot manipulators.Read More >>
A Neocortex® G2R (Goods to Robot) Cell is easy to deploy, like a collaborative robot. Yet it is uses an industrial Yaskawa Motoman robot with up to twice the capacity and 150% the speed of a collaborative robot (up to 800 items per hour).
How easy to deploy is the Neocortex G2R Cell? The average time for a Cell to be up and running at a customer site is one day. See our fun time-lapse video here. After it is up and running, our team then optimizes the robot and trains your operators. This contrasts with integrating an industrial robot system that may take weeks before being ready to run. The Cell’s deployment efficiency is comparable a collaborative robot’s average setup time, which is about half a day.Read More >>
Frank Tobe’s article in Robohub regarding what’s hot in robotics reads like a who’s who of companies providing state-of-the-art applications in robotics. He breaks down the trends into four buckets, one of which I’d like to address – Advances in Visual Perception.
Here’s what he says:
“Vision-enhanced robotic systems are becoming the top reason for upgrading and deploying vision-enabled robots and a core reason for the steady upward growth of the robotics industry…. Artificial intelligence and various AI learning systems have been improving regarding visual perception, and many new companies (such as Universal Robotics and their Neocortex system) are now either offering vision systems that can supplement existing fixed systems or offering mobile manipulators that can find and determine how best to pick and handle all sorts of objects from plastic-wrapped toys to boxes, cases and skids of materials.”
Frank’s points are correct. Let’s unpack the reasons for this burgeoning market opportunity.Read More >>
Would you like to hear some good news? Here’s a great example of people making a difference – bringing high touch to high tech, while backing it up with their wallet.
Today, a new International Council on Artificial Intelligence and Robotics (iCAIR) was formed by the UAE Prime Minister’s Office, inspired by the World Economic Forum’s Global Agenda Council on Artificial Intelligence and Robotics on the occasion of the 7th Global Agenda Summit in Dubai, UAE. The Council will advise on the best way to use robotics and artificial intelligence to improve people’s lives, including the creation of educational materials and a global action plan.Read More >>
Robotic material handling occurs in unstructured environments. In addition, the objects to be moved or manipulated by the robot often have never been seen before, vary constantly, and are in random locations. In the past, there was a tradeoff between throughput and flexibility.
Enjoy this short video blog as I explain on the whiteboard the current status of robotic solutions in the depalletizing application workspace, using throughput and flexibility as the main variables. It represents state of the art, industrial grade solutions for vision-guided robots, advanced vision-guided robots, and machine learning-guided robots.
Enjoy!Read More >>
In a recent article, Boston Consulting Group (BCG) points out that spending on robots worldwide is expected to grow from $15 billion in 2010 to $67 billion in 2025. The $52 billion increase in 15 years is a compounded annual growth rate of 10%. They attribute this growth to a convergence of falling hardware prices, performance improvements, and easier application software combined with increased flexibility and finesse. This results in robots being useful in a much broader set of applications than you might traditionally think of – such as automotive assembly and welding.Read More >>
Clint Reiser points out in the linked article that a new revolution in supply chain analytics is occurring. There is new level of data detail, it’s coming at us faster, providing bigger patterns and better insights.
The detail isn’t just point-of-sale information, customer buying patterns, or fleet telematics. From Universal’s perspective, the combining of machine learning and machine vision into robust automated solutions for material handling processes previously thought as random is a unique source of this data.Read More >>
As noted by ImpactLab.net, Pew Research questioned 1,896 experts about whether artificial intelligence (AI) applications and robots will have displaced more jobs than they have created by 2025. Fifty-two percent think more jobs will be created, 48% think more jobs will be displaced. So, its up for grabs as to who is right.
Note that if history repeats itself, technology has always been a job creator – not a job destroyer. However, the type of jobs, the skills required, and even entire industries will certainly go through massive change as part of the transition. As Vint Cerf, vice president for Google stated, “Historically, technology has created more jobs than it destroys and there is no reason to think otherwise in this case. Someone has to make and service all these advanced devices.”Read More >>