Nashville, TN, United States
Nashville, TN, United States

Universal Robotics, Inc. is a software engineering and robotics company headquartered in Nashville, Tennessee. The company offers state-of-the-art artificial intelligence with multi-dimensional sensing and motion control to help companies automate processes, from making machines more flexible to analyzing big data.Founded in 2008, the company specializes in complex processes not previously automated. Universal’s flagship intelligence software, Neocortex, enables robots to perform tasks too costly, dangerous or impossible for humans to undertake. The technology was funded by DARPA and NASA, and was originally co-developed through a 7-year partnership between NASA and Vanderbilt University and is employed in NASA’s Robonaut.By combining the Neocortex intelligence platform with modular sensing and control software products, Universal Robotics currently provides flexible applications for materials handling. Today’s software products include 3D machine vision products . Applications include Unlimited Box Moving, Unlimited Depalletization, Random Bin Picking, Random Bag Picking, and 3D Inspection. Wikipedia.


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News Article | November 2, 2016
Site: www.prnewswire.co.uk

Automated material handling market is growing with a CAGR of around 8% attributed to increasing demand for the automated solution from various applications like manufacturing, automotive and electrical. The automotive and electrical industries are the major application where the demand for industrial robots are very high as compared to other application. In 2015, around 1500 industrial robots are being used in automotive application for per 10,000 population in USA. Although, growing expansion of manufacturing facility across the globe, majorly in emerging economies such as India, China have boosted the requirement for automated material handling across industries. On the word of International Federation of Robotics, around 60,000 industrial robots were sold in China only in 2015. In 2016, the demand for industrial robots is around $3 billion in China only, such high demand for industrial robots in China has been witnessed due to the increasing investment in automation by a wide range of domestic industries in China. To have a brief overview of the report please click on the following link Robotic system is one of the highly demanded product in industries for process automation. In 2015 around 240,000 industrial robots were sold globally by about 25% increase in the sales from 2014. The automotive and the electronics industry were the key drivers for this growth. From the last decade, the industrial robotics demand has accelerated considerably owing to the ongoing trend towards automation and the continuous technical improvements in the industrial robots. The technological innovation is the major factor which is increasing the demand for the automated material handling across the globe. Various key players across the globe are investing a money for the development of the industrial robots. In 2015, ABB has innovated a dual arm, collaborative, small parts assembly robotic system named "YuMi" moreover, KUKA Robotics also produced a sensitive collaborative industrial robot termed "LBR iiwa" in the year 2015. There are various other players Universal Robotics and others are innovating new technology for the automated material handling. To contact us please click on the following link The high cost of industrial robots is one of the major factor which is hampering the growth in the global automated material handling market. The companies and government have to invest huge amount for the development of new technology in the automated material handling. It is expected that from 2015 to 2025 the investment in all type of automation rise to around $190 billion by 2025 up from around $10 billion in 2015. Occams Business Research & Consulting has been in the business (Market Research) for the past three years. OBRC, based in India, is formed by two women analysts, Shyamal Moghe and Sathya Durga, who started the company after years of working as analysts and project managers for companies such as Frost & Sullivan, Smart Analyst etc. and have an excellent track record for the best customer satisfaction.


News Article | March 1, 2017
Site: www.prweb.com

Today Universal Robotics® announces the expansion of its labor replacement line of Neocortex® Goods to Robot (G2R) Cells. Responding to customer demand for a broader range of reach and load capability, the company has introduced two new pre-engineered sizes to join the first offering. Neocortex G2R Cells Built on Universal’s Neocortex artificial intelligence software platform, these cells are designed to replace labor on the supply chain in a one-for-one swap. Pull out the operator and set in the Neocortex G2R Cell without modification to the existing line. It is a complete prefabricated robot workcell that installs in one day. Prices start at $120,000 for a complete cell including installation. Lease options are available. Payback can be less than one year. The Neocortex G2R Cell targets tasks along the supply chain that, until today, required manual process. The artificial intelligence-controlled robot cell handles extreme variability at speeds exceeding human capability.    It is used in both finished goods and manufacturing supply chains. The Cell can pick from bins, fill orders, tend to machines, and handle process flow. In short, wherever a laborer is working in the chain, the Neocortex G2R Cell may be a viable replacement. Its effective cost is $7 an hour for a two-shift operation over 5 years, far lower than fully burdened labor costs. Universal Logic Universal expands with the formation of a new company, Universal Logic. Universal Logic better reflects the company’s focus on general purpose artificial intelligence solutions. Neocortex machine learning works with more than just robots. It is capable of controlling any actuated machine. The nine-year-old parent company was the first to use 3D industrial vision commercially, the first to demonstrate real-time reactive control of an industrial robot, and the first to synthesize vision, robot actuation, and artificial intelligence for industrial purposes. Universal Robotics remains the system integrator of the organization. All three Neocortex G2R Cells pick items from bins, totes, conveyors or pallets, and place them into shipping boxes, bags, or machine fixtures. The Cells can read barcodes, identify labels, or take measurements. The medium-sized Cell uses a Yaskawa Motoman six-axis robot, and typically picks 600 – 700 items per hour. The new small Cell increases average robot speed by 15%. The new large Neocortex G2R Cell increases maximum item or box weight to 46 pounds. Neocortex G2R Family Performance and Price The Neocortex Small G2R Cell handles 700 – 800 items per hour (peaks to 25 per minute) that weigh up to 15 lbs. The starting price is $120,000 and 5-year lease is $2, 875 per month. The Neocortex Medium G2R Cell handles 600 – 700 items per hour (peaks to 27 per minute) that weigh up to 22 lbs. The starting price is $125,000 and 5-year lease is $2975 per month. The Neocortex Large G2R Cell handles 500 – 600 items per hour (peaks to 22 per minute) that weigh up to 46 lbs. Prices are for a complete robotic work cell.  This includes: a six-axis robot with controller, pendant, multi-function gripper, Neocortex® artificial intelligence software, Spatial Vision® software platform, sensors, safety barriers, PLC interface, HMI screen, frame with forklift slots, electrical and controls panel, onsite installation in North America, operator training, five-year remote diagnostic service with an additional $400/month software warranty, and one-year warranty on all hardware.  Optional equipment and custom integration are available. For more information, click here. About Universal Robotics and Universal Logic Universal provides supply chains with complete automated material handling systems for high-mix/high-volume applications.  Systems integrate artificial intelligence with vision, grasping, and motion control giving machines human-like flexibility at high speed. Neocortex artificial intelligence technology was invented for NASA twelve years ago and developed for industrial use by Universal starting in 2008. For more information contact Universal at 615-366-7281 or click here.


News Article | November 1, 2016
Site: www.prweb.com

The Neocortex® Goods to Robot Cell, a complete, pre-engineered adaptive picking solution, is being introduced at PACK EXPO 2016 (Nov 6-9, 2016; Chicago, IL; Yaskawa booth #S-2179). A collaboration between Yaskawa America Inc., Motoman Robotics Division and Universal Robotics, this solution is designed to automate any high-mix, high-volume application where manual labor is currently required, such as random bin picking, order fulfillment, machine tending or part induction. Built on Universal’s Neocortex and Spatial Vision® 3D software platform, this solution features a Motoman® MH12 robot, gripper, 3D vision guidance, industrial PC, sensors, communication protocols, human machine interface (HMI) and safety barriers. Neocortex, an artificial intelligence platform, is highly flexible with unparalleled real-time recognition. It can identify a diverse mix of boxes, bottles, tubes and bags. There is no limit to the number of parts or SKUs it can identify. Neocortex enables the high-speed, six-axis MH12 robot to pick incoming products from totes, bins, trays or cases. The robot then places the product in bags, boxes or cartons for shipping. With the ability of 800 picks per hour (average) with peaks up to 27 picks per minute, the Neocortex Goods to Robot Cell can increase accuracy and throughput over manual fulfillment. Click here to see the Neocortex Goods to Robot Cell in action. “This is an example of Yaskawa Motoman’s leadership commitment to pioneering new solutions for difficult applications,” stated Roger Christian, Divisional Leader, New Market Development. “This collaboration with an industry innovator brings a pre-packaged solution to the industry for material handling applications previously not possible. Universal’s Neocortex artificial intelligence brings great handling flexibility to our high-speed MH-series robots, and delivers it in a compact pre-engineered cell.” “Customer interest, even prior to release, has been outstanding,” commented Hob Wubbena, Vice President at Universal Robotics. “Until now, no one has been able to combine high-speed handling with high variability of thousands of items, and deliver it in one easy-to-use robotic cell.” The compact cell is delivered on a 4-ft x 4-ft platform, easily placed in a human-scale workspace by a forklift and operational within one day. About Yaskawa Motoman Founded in 1989, the Motoman Robotics Division of Yaskawa America, Inc. is a leading robotics company in the Americas. With over 300,000 Motoman® robots installed globally, Yaskawa provides automation products and solutions for virtually every industry and robotic application; including arc welding, assembly, coating, dispensing, material handling, material cutting, material removal, packaging, palletizing and spot welding. For more information please click here or call 937.847.6200. About Universal Robotics Universal is an artificial intelligence software company that uses sensor input to allow machines to see, react, and learn with human-like flexibility. Its Neocortex artificial intelligence and Spatial Vision 3D software platform works with a wide range of robots and sensors. Neocortex technology was invented for NASA twelve years ago and developed for industrial use by Universal starting in 2008. For more information please click here or call 615.366.7281.


A collaboration between Yaskawa America Inc., Motoman Robotics Division and Universal Robotics, this solution is designed to automate any high-mix, high-volume application where manual labor is currently required, such as random bin picking, order fulfillment, machine tending or line loading. Dayton, OH, November 02, 2016 --( A collaboration between Yaskawa America Inc., Motoman Robotics Division and Universal Robotics, this solution is designed to automate any high-mix, high-volume application where manual labor is currently required, such as random bin picking, order fulfillment, machine tending or line loading. Built on Universal’s Neocortex and Spatial Vision® 3D software platform, this solution features a Motoman® MH12 robot, gripper, 3D vision guidance, industrial PC, sensors, communication protocols, human machine interface (HMI) and safety barriers. Neocortex, an artificial intelligence platform, is highly flexible with unparalleled real-time recognition. It can identify a diverse mix of boxes, bottles, tubes and bags. There is no limit to the number of parts or SKUs it can identify. Neocortex enables the high-speed, six-axis MH12 robot to pick incoming products from totes, bins, trays or cases. The robot then places the product in bags, boxes or cartons for shipping. With the ability of 800 picks per hour (average) with peaks up to 27 picks per minute, the Neocortex Goods to Robot Cell can increase accuracy and throughput over manual fulfillment. “This is an example of Yaskawa Motoman’s leadership commitment to pioneering new solutions for difficult applications,” stated Roger Christian, Divisional Leader, New Market Development. “This collaboration with an industry innovator, brings a pre-packaged solution to the industry for material handling applications previously not possible. Universal’s Neocortex artificial intelligence brings great handling flexibility to our high-speed MH-series robots, and delivers it in a compact pre-engineered cell.” “Customer interest, even prior to release, has been outstanding,” commented Hob Wubbena, Vice President at Universal Robotics. “Until now, no one has been able to combine high-speed handling with high variability of thousands of items, and deliver it in one easy-to-use robotic cell.” The compact cell is delivered on a 4-ft x 4-ft platform, easily placed in a human-scale workspace by a forklift and operational within one day. About Yaskawa Motoman Founded in 1989, the Motoman Robotics Division of Yaskawa America, Inc. is a leading robotics company in the Americas. With over 300,000 Motoman® robots installed globally, Yaskawa provides automation products and solutions for virtually every industry and robotic application; including arc welding, assembly, coating, dispensing, material handling, material cutting, material removal, packaging, palletizing and spot welding. For more information please visit www.motoman.com or call 937.847.6200. About Universal Robotics Universal is an artificial intelligence software company that uses sensor input to allow machines to see, react, and learn with human-like flexibility. Its Neocortex artificial intelligence and Spatial Vision 3D software platform works with a wide range of robots and sensors. Neocortex technology was invented for NASA twelve years ago and developed for industrial use by Universal starting in 2008. For more information please visit www.universalrobotics.com or call 615.366.7281. Dayton, OH, November 02, 2016 --( PR.com )-- The Neocortex® Goods to Robot Cell, a complete, pre-engineered adaptive picking solution, is being introduced at PACK EXPO 2016 (Nov 6-9, 2016; Chicago, IL; Yaskawa booth #S-2179).A collaboration between Yaskawa America Inc., Motoman Robotics Division and Universal Robotics, this solution is designed to automate any high-mix, high-volume application where manual labor is currently required, such as random bin picking, order fulfillment, machine tending or line loading.Built on Universal’s Neocortex and Spatial Vision® 3D software platform, this solution features a Motoman® MH12 robot, gripper, 3D vision guidance, industrial PC, sensors, communication protocols, human machine interface (HMI) and safety barriers.Neocortex, an artificial intelligence platform, is highly flexible with unparalleled real-time recognition. It can identify a diverse mix of boxes, bottles, tubes and bags. There is no limit to the number of parts or SKUs it can identify. Neocortex enables the high-speed, six-axis MH12 robot to pick incoming products from totes, bins, trays or cases. The robot then places the product in bags, boxes or cartons for shipping. With the ability of 800 picks per hour (average) with peaks up to 27 picks per minute, the Neocortex Goods to Robot Cell can increase accuracy and throughput over manual fulfillment.“This is an example of Yaskawa Motoman’s leadership commitment to pioneering new solutions for difficult applications,” stated Roger Christian, Divisional Leader, New Market Development. “This collaboration with an industry innovator, brings a pre-packaged solution to the industry for material handling applications previously not possible. Universal’s Neocortex artificial intelligence brings great handling flexibility to our high-speed MH-series robots, and delivers it in a compact pre-engineered cell.”“Customer interest, even prior to release, has been outstanding,” commented Hob Wubbena, Vice President at Universal Robotics. “Until now, no one has been able to combine high-speed handling with high variability of thousands of items, and deliver it in one easy-to-use robotic cell.”The compact cell is delivered on a 4-ft x 4-ft platform, easily placed in a human-scale workspace by a forklift and operational within one day.About Yaskawa MotomanFounded in 1989, the Motoman Robotics Division of Yaskawa America, Inc. is a leading robotics company in the Americas. With over 300,000 Motoman® robots installed globally, Yaskawa provides automation products and solutions for virtually every industry and robotic application; including arc welding, assembly, coating, dispensing, material handling, material cutting, material removal, packaging, palletizing and spot welding. For more information please visit www.motoman.com or call 937.847.6200.About Universal RoboticsUniversal is an artificial intelligence software company that uses sensor input to allow machines to see, react, and learn with human-like flexibility. Its Neocortex artificial intelligence and Spatial Vision 3D software platform works with a wide range of robots and sensors. Neocortex technology was invented for NASA twelve years ago and developed for industrial use by Universal starting in 2008. For more information please visit www.universalrobotics.com or call 615.366.7281. Click here to view the list of recent Press Releases from Yaskawa Motoman


Rojas J.,Vanderbilt University | Peters II R.A.,Universal Robotics
Autonomous Robots | Year: 2012

Robotic technology is quickly evolving allowing robots to perform more complex tasks in less structured environments with more flexibility and autonomy. Heterogeneous multi-robot teams are more common as the specialized abilities of individual robots are used in concert to achieve tasks more effectively and efficiently. An important area of research is the use of robot teams to perform modular assemblies. To this end, this paper analyzed the relative performance of two robots with different morphologies and attributes in performing an assembly task autonomously under different coordination schemes using force sensing through a control basis approach. A rigid, point-to-point manipulator and a dual-armed pneumatically actuated hu-manoid robot performed the assembly of parts under a traditional "push-hold" coordination scheme and a human-mimicked "push-push" scheme. The study revealed that the scheme with higher level of cooperation-the "push-push" scheme-performed assemblies faster and more reliably, lowering the likelihood of stiction phenomena, jamming, and wedging. The study also revealed that in "push-hold" schemes industrial robots are better pushers and compliant robots are better holders. The results of our study affirm the use of heterogeneous robots to perform hard-to-do as-semblies and also encourage humans to function as holder's when working in concert with a robot assistant for insertion tasks. © 2011 Springer-Verlag.


Kim H.-H.,Kwangwoon University | Kim D.-J.,Universal Robotics | Park K.-H.,Kwangwoon University
IEEE Transactions on Industrial Electronics | Year: 2012

This paper deals with vision-based elevator button recognition for a robot arm manipulating elevator buttons. The major difficulties in elevator button recognition are the presence of partial occlusion of the target objects and image clutter caused by specular reflection from mirrorlike walls inside the elevator. As a remedy for the elevator button recognition problem in highly complicated settings, we propose a robust button recognition algorithm, which is modularized into feature extraction, initial recognition, and postrefinement modules. In consideration of the diverse button shapes in the form of convex quadrilaterals with rounded button corners, a set of features is specially designed to describe each button contour subject to perspective distortion. A homography-based image transform is also employed for the template matching to achieve a more reliable matching performance. Like a grammar in linguistics, geometric button alignment, plays a key role in the elimination of false positives and the estimation of the missing buttons. The proposed algorithm is extensively tested in a robotic platform to verify effectiveness, robustness, and real-time performance. © 2011 IEEE.


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News Article | June 26, 2014
Site: www.prweb.com

Universal Robotics is now shipping version 4.1 of their flagship sensor-based automated learning software called Neocortex®. The software provides industrial and logistics customers automated material handling solutions for what has historically required manual labor. Unlimited Robotic Depalletization Neocortex Unlimited Depalletization allows for handling an unlimited number of cartons, automatically adjusting for the nearly infinite number of variables that naturally occur in supply chains. Other applications include robotic random bin picking, robotic random bag picking, and automated 3D inspection. The breakthrough will expand robot use in the logistics industry, where according to U.S. Bureau of Labor Statistics, on-the-job back injuries are higher than any other business segment. Neocortex - The Software with an IQ In a revolutionary approach, Universal has created a software solution, Neocortex, which can work with any actuated machine. According to Chief Executive, David Peters, “Learning in nature is common to all creatures regardless of body type. Universal’s patented technology mimics that approach. Our software functions as sensor-based interactive intelligence, which is independent of specific machines. This allows us to integrate with a broad base of equipment.” Neocortex works with all popular robots, such as ABB, Kawasaki, KUKA, Mitsubishi, and Motoman, and can easily be retrofitted into existing robotic work cells. Ongoing Automation Flexibility This unprecedented flexibility in automation is based on Neocortex learning from a real-time feedback loop. It is not limited by the rigid, programmatic approach of current 2D and 3D vision systems. Hob Wubbena, Vice President, states, “The loop of sensory-motor behavior self-organizes. This means Neocortex learns as we do. It captures attributes of the experience, giving it a high degree of flexibility without computational explosion. For instance, we are currently installing the Neocortex Unlimited Depalletization on an application that has 400,000 SKUs, each with a unique box type that changes over time. No existing 3D vision system can do this in real-time.” Flexibility Not Possible with Traditional Programming Current 3D vision guidance systems require up-front engineering to configure and test the objects to be handled. When introducing new objects, a traditional 3D guidance system must be reconfigured manually by an engineer. Over the life of the robot, hundreds of thousands of dollars are invested in engineering alone to accommodate changes. In contrast, Neocortex Unlimited Depalletization is competitively priced, starting at $40,000 plus a subscription license. There is no additional engineering when new objects are added. In other words, it is a solution that automatically grows with the customer. Neocortex – Intelligence at the Speed of Robots Neocortex is fast. It typically assimilates sensor information, learns, and reacts in under 700 milliseconds. This ensures the application is always faster than the physical movement of the robot. Most large robots can repeat a full cycle 15 times a minute. If they are strong enough, up to two 100-lb boxes can be picked at once, yielding an average carton throughput rate of up to 1,400 boxes an hour. Continuing Volumetric Metrics for Logistics Efficiency Improvements Neocortex can report operational metrics. For example, it can provide packing density of a pallet load by SKU. Universal Robotics works with Integrators, Automation Companies Universal is actively seeking integrators who wish to complement their capabilities with Neocortex. More information is available at http://www.universalrobotics.com/worldwide-distribution, or contact sales below. About Universal Robotics Universal Robotics is a software engineering company that creates state-of-the-art machine intelligence with multi-dimensional sensing and motion control to expand the reach of automation for a host of applications, making machines more flexible and providing learning from big data. For more information, go to http://www.universalrobotics.com or contact Manda Patrick, Sr. National Accounts Manager, at (615) 366-7281 or sales(at)universalrobotics(dot)com.


News Article | August 6, 2014
Site: www.techworld.com

A handheld medical diagnostic device. A cloud-based way to connect emergency responders. Brain monitoring sensors. A bottle that filters water for you. These are just a few of the commercial products that were created using technology developed by NASA. "NASA develops technologies to push the boundaries of what's possible in space, but those same technologies also make life better here on Earth," said Daniel Lockney, NASA's Technology Transfer program executive. NASA technology has long made its way into our everyday lives. Supercomputers, integrated circuits, robotics, nanotechnology and even the military's pre-packaged field rations all can be directly linked to work done by NASA engineers. Here are some of the more recent technologies that made a name for themselves.

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