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Nidec Instruments Develops Vacuum-resistant Liquid Crystal Substrate Transfer <span style='color:red'>Robot</span>s

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Nidec Instruments Develops Vacuum-resistant Liquid Crystal Substrate Transfer Robots

　　Nidec Instruments Corporation (“Nidec Instruments” or the “Company”), a wholly owned subsidiary of Nidec Corporation, today announced the development of liquid crystal substrate transfer robots that can move their joints in a vacuum environment as freely as in the air.　　In a process to manufacture liquid crystal, organic electroluminescent (EL), and other displays, mother glass substrates are constantly required to be made larger, and their processing speed faster, as their production cost must be reduced and screen sizes must be made larger at the same time. In recent years, display manufacturers are required to handle large, 3m x 3m products because the larger glasses robots can transfer, the better transfer efficiency they can achieve.　　As mother glass substrates’ thin-film and vapor deposition processes require an extremely clean vacuum environment, transfer robots used in such processes must be vacuum-resistant as well.　　As the company with the largest global market share for transfer robots used in organic EL substrates’ vapor deposition process, Nidec Instruments utilized its knowhow in these latest products as well. Robots that operate in vacuum have joints with seals to keep air and dust inside their arms and other parts. Though such sealing mechanisms restrain the movements of transfer robots’ joints, the Company’s latest products adopt magnetic seals integrated with reducers to minimize the seals’ use, and thus secure the same level of freedom as in the air. To meet its customers’ needs, Nidec Instruments has added two new modes with different arm shapes, i.e., a boomerang type and a scalar type, to its product lineup, while suppressing cost by using common units for them.　　As a member of the world’s leading comprehensive motor manufacturer, Nidec Instruments stays committed to offering revolutionary solutions that contribute to creating a comfortable society.

Key word：

Nidec

Release time：2023-12-11 17:46 reading：2080 Continue reading>>

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Nidec Instruments Launches New Semiconductor Wafer Transfer Robot

　　Nidec Instruments’ Latest Semiconductor Wafer Transfer Robot, SR7163 series.　　Despite a temporary slowdown in 2023, the global semiconductor market is expected to expand from 2024 after demand recovers in a wide variety of product groups such as memory logic and other IC products, and in the O-S-D (optoelectronics, sensor/actuator, and discrete semiconductor) segment. As the demand grows around the world for the construction of semiconductor factories with high production capacity, Nidec Instruments has developed the SR7163 series, a semiconductor wafer transfer robot to respond to its customers’ needs.　　Among semiconductor manufacturing equipment, the SR7163 series is expected to be used in batch-type thermal treatment equipment and other machines in processes that require to transfer multiple substrates to a stage with a different slot pitch. A product that utilizes an arm-link mechanism to move a hand horizontally, the SR7163 series boasts a small minimum turning radius that can accommodate narrow pitches of up to the minimum limit of 6.5mm. In addition, with the use of a highly airtight link-type arm, the SR7163 series meets ISO14644-1’s Class-1 cleanliness requirements, which is the industry’s highest-level cleanliness.　　As a member of the world’s leading comprehensive motor manufacturer, Nidec Instruments stays committed to offering revolutionary solutions that contribute to building a comfortable society.　　For more details on the above product, Please contact AMEYA360 official customer!

Key word：

Nidec

Release time：2023-09-05 13:49 reading：2984 Continue reading>>

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OMRON:Enabling safe sterilization of medical equipment with robotics

　　Hospitals play a major role in keeping our societies safe and thriving. Any medical practice is centered around instruments which form the backbone of the hospitals. Medical instruments require special care, and they must always be sterilized before operating on patients. Sterilization is quite a tedious task as it involves moving around instrument trolleys around the hospital which leaves the staff indulged in unproductive and injury prone activities.　　OMRON team in Australia took note of this redundant practice and partnered with Atherton to come up with an innovative solution that will encourage safe sterilization of medical instruments with automation.

Key word：

OMRON

Release time：2023-01-11 14:32 reading：3546 Continue reading>>

IDC Expects Asia/Pacific excluding Japan Spending on <span style='color:red'>Robot</span>ics to Reach US$129.4B in 2022

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IDC Expects Asia/Pacific excluding Japan Spending on Robotics to Reach US$129.4B in 2022

　　The latest IDC Worldwide Semiannual Robotics and Drones Spending Guide forecasts Asia Pacific excluding Japan (APEJ) spending on robotics (including drones) and associated services to reach USD 129.4 billion by 2022, essentially three times the spending in 2018, with a five-year CAGR of 25.2% during 2017-2022. APEJ tops with the largest market share for robotics applications followed by the United States and Japan. Both are expected to record for more than 61.6% of the world’s entire robotics market in 2022.　　"To survive the escalating competition, APEJ manufacturing organizations surveyed by IDC in 2018 are putting robotics as their top priority for technology investment," said Dr. Jing Bing Zhang, Research Director for Worldwide Robotics at IDC. “While the uncertainty of the trade war between the United States and China is likely to dampen the market growth in the near term, we expect the growth trend to pick up from 2020 onward.”　　Discrete and process manufacturing are the dominant industries in robotics (including drones) spending, which turns over 58.1% of the overall spend in APEJ in 2019. Largely, welding and assembling use cases in discrete manufacturing, whilst pick and pack, and bottling use cases in process manufacturing are driving the robotics spend in 2019. However, customer deliveries, vegetable seeding and planting are the drone use cases which we expect to grow at fast pace with a five-year CAGR 126.4% and CAGR 112.1% respectively over the forecast period (2017-22).　　“There has been an intensive wave of industrial automation for which robotics and drones provide a major base; hence attracting investments with each passing year. Under Robotics, despite Manufacturing being a dominant industry in this area, investments will continue to increase in resource industry, retail, construction, among others,“ said Swati Chaturvedi, Senior Market Analyst at IDC.　　“On the other hand, drones, which are majorly a consumer-oriented technology, are gaining momentum in its industrial usage by enterprises and governments alike for tasks as mundane as filmmaking and inspection or as complex as agricultural uses, mining operations assistance, and insurance assessment.”　　From a technology perspective, hardware purchases related spending on robotics systems (including drones) in APEJ, which includes industrial, service and consumer robots and after-market hardware, is forecast to grow to $81.0 billion in 2022.　　China accounts largest market share in the Asia Pacific robotics (including drones) market. Its spending on robotics is expected to reach $80.5 billion, representing 62.2% of APEJ region's total spending in 2022.

Key word：

Robot

Release time：2019-01-25 00:00 reading：4009 Continue reading>>

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IDC TechScape Assesses Technologies Related to Adoption of Service Robotics

　　Worldwide Service Robotics, 2018 (IDC #US42954518), which provides a systematic assessment of technologies related to the adoption of service robotics. Robotic technology has evolved from a technology used predominantly within industrial manufacturing to a technology that now has applicability across a much wider set of industries and use cases. When thinking about this evolution, IDC considers the role of other technology areas that have helped drive innovation in the field of robotics. This new report is intended to help senior executives assess their organization's technology landscape to determine whether their efforts are aligned with analyst's assessment of the industry's overall technology adoption progress.　　Across industries, companies are looking at the viability of robots as a mechanism to support process improvement, drive productivity and efficiency gains, support cost management, and offset labor related challenges that appear to be hindering business process effectiveness in some industries. While some robotic applications are designed to solve a very specific business problem, other robotic technology has been built with the flexibility to be applied across different business processes and industries.　　The IDC TechScape provides a visual representation of the process of technology adoption, dividing technologies into three major categories (Transformational, Incremental, and Opportunistic) based on their impact on the organization and assessing the technologies relative to adoption levels within their respective categories. Technologies evaluated in the new report include 3D printing, artificial intelligence, autonomous guided vehicles, exoskeletons, and virtual reality.　　IDC expects that executives responsible for information technology strategies will use the IDC TechScape model to:　　Assess the progress of their own technology adoption efforts in comparison with the industry overall.　　Identify new technologies that should be added for consideration in their technology road map.　　Add new insights to increase the robustness of their own technology decision frameworks.　　"The use of robotics in nontraditional applications is growing as technology innovators continue to push the envelope on what a robot is capable of doing," said John Santagate, research director, Service Robots at IDC. "Service robots have not evolved on their own; the current state of service robots has been enabled by the maturity of several other related technology areas that have helped to deliver robots with greater and more versatile skill sets than previous generations of robotics."

Key word：

Robotics

Release time：2018-04-02 00:00 reading：1120 Continue reading>>

Germany Leads Europe in AVs, <span style='color:red'>Robot</span>ics

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Germany Leads Europe in AVs, Robotics

　　Germany is perceived to be a clear leader amongst European countries in the race to build a world-leading position in autonomous vehicles and robotics, according to the latest annual State of European Tech 2017 report published by VC firm Atomico.　　In a survey of 3,500 people from across the European tech industry, respondents said Germany would be a leader in autonomous vehicles, robotics and quantum computing, while the UK would lead in artificial intelligence and France in drones.　　According to the report, about $3.5 billion has been invested this year in Europe's deep tech companies — which includes semiconductors, IoT, robotics and artificial intelligence — in more than 600 deals. European chip companies have raised about $1.1 billion in 172 deals since 2012, according to the report.　　The UK has seen the largest amount of capital invested in deep tech companies so far in 2017 (about $1.8 billion), followed by France ($509 million) and Germany ($400 million), according to the report.　　The report also found that Europe’s most promising deep tech companies are raising large rounds and actively choosing to stay independent to continue to build and take on global opportunities. It cites recent fundraising rounds by Graphcore, with its $50 million investment lead by Sequoia Capital; Lilium which raised $90 million lead by Tencent; and FiveAI which raised $35 million in a round lead by Lakestar.　　"European entrepreneurs are catalyzing the development of AI technology and the proliferation of AI-powered applications," said David Kelnar, an investment director at MMC Ventures. "As AI reaches an inflection point in adoption, early-stage AI companies will empower buyers that have the vision to embrace them and disrupt those that do not."　　According to Kelnar, Europe is home to about 900 startups focused on AI, roughly 70 percent of the number of AI-focused startups based in the U.S. Europe also boasts a quarter of the world's top 50 universities and a flourishing ecosystem for entrepreneurship, he added.　　Europe accounts for the largest share of top 100 AI research institutions worldwide, according to the report. There are 32 research institutions in the global top 100 for AI-related research paper citations in Europe, compared to 30 from the U.S. and 15 from China, according to the report.　　This is the third year that Atomico has created this report, which it calls the most comprehensive data-driven story of European technology today. It teamed up with existing partners LinkedIn, Stack Overflow, Meetup, Dealroom.co, the London Stock Exchange, Quid, European Startup Initiative, Signal and Invest Europe, as well as partners such as the European Investment Fund, Craft.co, and TokenData, Silicon Valley Bank and Orrick.　　The 143-page report covers a broad range of areas including the entrepreneur ecosystem, talent, capital flows, and deep tech.　　Overall, it sees a picture of an ecosystem in "rude health." Europe is building a tech ecosystem in its own image, defined by deep tech expertise, geographic diversification, and a collaborative approach with traditional industry. The report argues that solid foundations have been laid — a huge and deep talent pool, founders with global ambition levels, and a large, growing and increasingly sophisticated investor base — meaning that Europe marches to its own beat.

Key word：

Germany,AVs,Robotics

Release time：2017-12-20 00:00 reading：1110 Continue reading>>

Consumer Space Drives Service <span style='color:red'>Robot</span> Sales, Startups

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Consumer Space Drives Service Robot Sales, Startups

　　Recent market studies on global trends in service robots conclude that the consumer-robot category is growing faster than any other kind. In 2020, service robots for domestic or personal use could well account for 40 million units sold — some of them by robotics startups, which are also on the rise.　　The service-robot category covers just about all robots other than the fixed-in-place, industrial machines designed to do one main job very accurately and very fast. Service robots vary widely in form and function and sell in far higher unit volumes than industrial robots. Most analyses distinguish between professional service robots, such as those used in military or medical applications, and robots for domestic and personal use, such as smart vacuums and toys. Professional service robots are more complex, command a higher price tag, and account for annual unit sales in the tens of thousands. Domestic and personal-use robots are simpler, cost much less, and sell in the millions of units per year. Most robots of both types are produced in the United States.　　Global unit sales of professional service robots increased 24% in 2016 over 2015, while the dollar value per robot increased by only 2%, according to “World Robotics: Service Robots 2017,” a report from Germany’s International Federation of Robotics. IFR attributes the low rate of revenue increase to a slight decline in sales of high-value military machines, which accounted for 19% of units sold in 2016. Unit sales of unmanned aerial vehicles (UAVs), the largest military type, grew 4%, but unmanned ground vehicle (UGV) unit volumes declined by 32%.　　About 10% of professional service robots are “field” or agricultural machines, such as milking systems. These also declined slightly in 2016. But unit sales of medical robots — by far the highest-priced of any service robot — rose 23%, accounting for 2.7% of professional-robot sales in 2016. In a separate category are powered exoskeletons that help rehab patients walk or reduce the weight of loads carried; unit sales of these machines rose 21%. Growing even faster are logistics systems, such as the automated guided vehicles (AGVs) used in factories. Their volumes increased 34% in 2016, and they now constitute 43% of professional service robots.　　Most of the domestic/personal robots sold are machines that perform household tasks, such as vacuuming and lawn mowing. The IFR report estimates unit growth of 25% for such robots in 2016. Another rapidly increasing category is entertainment robots, such as sophisticated toys, for which volumes rose 22% in 2016.　　The IFR expects aggressive growth in the next few years for service robots. The organization estimates a 17% rise in total unit sales of professional robots for the current year and predicts increases of 20% to 25% annually for the professional category between 2018 and 2020. Some of the fastest-growing professional service robots are public relations systems, for which volumes are estimated to have jumped 37%, to 10,300 units, in 2017 and are predicted to grow to 66,100 units by 2020. Logistics systems such as AGVs in factories, hospitals, and e-commerce environments will jump 46% in 2017 and then grow 25% to 30% per year between 2018 and 2020.　　Powered exoskeletons will continue to log rapid growth, according to IFR, which estimates a unit increase of 35% for the category in 2017, followed by 25% growth per year between 2018 and 2020. Domestic/household robot unit volumes overall have grown 30% in 2017 and will rise 30% to 35% annually in the 2018-2020 time frame. Entertainment robot unit sales will increase 20% to 25% annually during the forecast period.　　“The growing interest in service robotics is partly due to the variety and number of new startups, which currently account for 29% of all robot companies,” Martin H?gele, chairman of the IFR Service Robot Group, said in a statement. About 200 startup companies in the United States are developing service robots, along with 170 in the European Union and Switzerland, and 135 in Asia.　　In a study released in June, Boston Consulting Group reported that private investment in the robotics space had tripled between 2014 and 2015 alone. Lower prices and improving capabilities, including cheaper and better electronics and easier programming, have helped fuel this rise, according to the BCG report.　　The management consulting firm measures robotics in dollar values. In 2014, it predicted a global market for all types of robots — military, industrial, commercial, and consumer — of $67 billion by 2025. BCG sharply revised that figure upward in its June report, predicting a total market of $87 billion. The new tally includes a jump of 156% for consumer robots, which indicates very high unit numbers, considering the consumer category’s much lower average selling prices.　　In 2016, robotics technologies shifted toward consumer-facing applications, and more companies serving the consumer space were started. But the trend itself is older: Since 2012, about 40% of all new robotics companies have targeted consumers, with far fewer startups emerging to serve the military, commercial, and industrial sectors.　　“Much of the accelerated growth [by 2025] will come from the consumer market because of applications such as self-driving cars and devices for the home,” Vlad Lukic, a BCG partner and coauthor of the report, said in a statement. The rest will come from 34% higher growth in commercial robots.　　According to a recent study from Swedish market research firm Berg Insight, the global installed base of service robots totaled 29.6 million units in 2016. A whopping 80 percent, or 23.8 million, were floor-cleaning robots. Accounting for the remainder were 4 million UAVs, or drones; 1.6 million robotic lawn mowers; 100,000 AGVs; 50,000 milking robots; and lots of other types in much smaller numbers: humanoid, assistant and companion, telepresence, surgical, autonomous mobile, and powered exoskeleton.　　Berg predicts that the total installed base of service robots will rise to 264.3 million worldwide by 2026, at a compound annual growth rate (CAGR) of 24% between 2016 and the final forecast year. The figures are close to the IFR’s estimates covering a portion of the forecast period.

Key word：

Consumer Space,Robot Sales

Release time：2017-12-15 00:00 reading：1248 Continue reading>>

<span style='color:red'>Robot</span> Changes Skins to Change Its Moves

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Robot Changes Skins to Change Its Moves

　　MIT has invented a robot that swaps out water-soluble, recyclable exoskeletons to perform different tasks by walking, rolling on wheels, gliding, or floating. Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), led the engineering team that developed the robot, dubbed Primer.　　Although robots that can change their form or function have been created at larger sizes, building smaller-scale self-reconfiguring robots is difficult, partly because of the size and weight of onboard electronics. The cube-shaped Primer robot is controlled remotely via magnets. Its exoskeletons, or skins, are heat-activated, rectangular plastic sheets that self-fold into different shapes to customize the robot for various tasks. Immersion in water dissolves the exoskeleton after Primer completes the job.　　Primer’s technology derives from previous projects by Rus’ team, including centimeter-long, “origami” microrobots that can be precisely customized from sheets of plastic, as well as magnetic blocks that assemble themselves into different shapes. Other CSAIL self-assembling robotics projects have included tiny robotic pebbles that self-assemble to duplicate an object when it’s placed inside a pile of them.　　The idea behind Primer and other self-reconfiguring robots is to give a single machine the ability to perform multiple functions, instead of requiring a separate robot for each task. The team plans to add more modes, such as burrowing in sand, driving through water, and camouflaging the robot’s color. “I can imagine one day being able to customize robots with different arms and appendages,” said Rus in a statement. “Why update a whole robot when you can just update one part of it?”　　Modular, self-reconfiguring robots, and even self-assembling/reassembling robots, have been developed at other university labs, including the University of Pennsylvania’s Modular Robotics Laboratory, the University of Southern California’s Robotics and Autonomous Systems Center, the Georgia Institute of Technology’s Georgia Robotics and Intelligent Systems (GRITS) Laboratory, and Carnegie Mellon University’s Robotics Institute.

Key word：

Robot ,Skins

Release time：2017-12-01 00:00 reading：1054 Continue reading>>

Roomba’s Father Says <span style='color:red'>Robot</span>s Will Evolve

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Roomba’s Father Says Robots Will Evolve

　　Industrial robots are poised for change.　　They will become more integrated, easy to use and widely deployed, especially in China, which is emerging as a center of robotics innovation. Large fulfillment operations run by the likes of Alibaba and Amazon will be drivers in the next stage of their growth.　　Those were some of the views of Rodney Brooks, a robotics pioneer and current chairman and CTO of Rethink Robotics, speaking in a keynote at an event here.　　Today more than half the cost of a factory robot goes to systems integrators who configure it with sensors and train it, typically writing custom programs and generating proprietary data that stays on the factory floor.　　By contrast, tomorrow’s industrial robots will come with integrated sensors and computer vision. They will be trained without elaborate coding on open platforms that send their data to cloud services. And widely used programmable logic computers (PLCs) will become “art projects,” Brooks predicted.　　“Today’s business model is going away…We are in an industry where deployment speed is like molasses, but it’s not going to be like that forever,” he said.　　Brooks imagined a future where untethered robots, respond to voice commands, freeing their supervisors from today’s interactions via scripting languages. “In the last five years, we have seen a tremendous increase in functionality in speech systems…speech is going to be fine in factories,” he said.　　“The robot industry is squarely stuck in the 20th century…[but] there are so many little startups coming along that things are going to happen, so start worrying because hundreds of thousands of entrepreneurs are coming,” he told an audience of several hundred industrial robot builders.　　China alone has several hundred robotics startups today. They are fueled by a government industrial policy that wants to maintain China’s standing as a global manufacturing center. Robots are also seen as key to dealing with a labor shortage for factory jobs where turnover rates vary from 16-30 percent, Brooks said.　　“A lot of these China startups are low-end manufacturers of cheaper light industrial robots with six-degrees of freedom, dragging prices down so it’s hard for U.S. and European companies to compete there… we can scoff at their level of innovation, but it’s only a matter of time before it increases,” he said.　　So far, promises of millions of robots on Foxconn lines in China have not come true, in part due to the challenges with programming today’s robots, said Brooks, who had his original Roomba robotic vacuum cleaners made by toy manufacturers in Shenzhen. With 20 million units sold, the Roomba became the largest selling robot to date.　　Giant fulfillment operations run by the likes of Alibaba and Amazon will also be big drivers for next-gen robots, probably using machine learning.　　“Amazon Robotics employs 700 people just in Boston, but the robots can’t do pick or pack operations, so they are hiring every Christmas,” Brooks said, noting Amazon funds a university challenge for robots that pack.　　“These fulfillment centers have an incredible need for pick and pack operations where every package is unique. That will drive development in robotic arms in ways we haven’t seen and that will in turn impact factory automation in ways we can’t predict,” he said, calling it a “tremendous” demand that “will disintermediate many people in robotics.”　　One of the big challenges ahead is dealing with safety, an issue for which the Robotics Industry Association hosting the event has set up several working groups.　　Rethink’s own robots currently set payload and velocity constraints as a first step toward safety, but that won’t work for factories that need heavy loads handled quickly. Some companies are now using external cameras and controls to monitor and manage robots, but more solutions are needed, Brooks said.　　Long term, an aging population may demand “speech-controlled robots that help you in and out of bed — that’s an incredible driver of safety,” he said.　　Rethink’s current robotic arms already embed cameras, force sensors and smarts to learn and remember actions. “We can’t do all the things high-end PLCs do, but we can do a lot of it,” he said.　　Another big change will be a move to wireless networking on the factory floor, he predicted“Many of our customers don’t have any network on the factory floor and many keep their data walled off…Wireless is changing things rapidly, there will be a whole different set of infrastructure and policies for what comes on and off the factory floor,” he said.　　Unlike startup Embodied Intelligence, recently launched by Berkeley robotics researchers, Brooks does not believe VR headsets will find wide use as an interface to robots. Instead, he sees supervisors monitoring and managing automated factories with tablets.

Key word：

Robots

Release time：2017-11-17 00:00 reading：1391 Continue reading>>

Trade news

Robots Get AI from Startup

　　In the next few months, industrial robots will learn how to do their jobs by watching humans, using software from a startup that debuts today. The neural-networking program from Embodied Intelligence also will let robots improve their performance over time.　　The work marks a step toward a future in which robots will understand the visual world. Today, human experts typically train factory-floor robots to repeat motions in a relatively slow two-step process that sometimes requires humans writing custom software.　　“Instead of programming each procedure, we demo it — it doesn’t require an expert … the robot learns from trial and error,” said Peter Chen, a co-founder and chief executive of the company.　　“Our robot software is not restricted to fixed motions. Today, robots do the same mechanical tasks over and over. Our software gives robots the ability to really see through their cameras and make adjustments.”　　In addition to training robots faster and more cheaply, the software also opens the door to teaching new tasks. For example, the system could teach a robot how to thread a wire through a mechanical part, something most computer-vision systems cannot do given the complexity of tracking and programming for a flexible object.　　The startup uses virtual reality headsets to train robots. It currently uses the HTC Vive headset and its motion controller, although any VR headset will do.　　“You see what the robot sees, you make decisions based on what the robot sees … and the robot imitates it,” he said.　　Chen was one of three Berkeley researchers who published results earlier this year of experiments teaching robots 10 basic tasks using machine learning and a VR connection. “With a three-minute demo in VR, robots solved all tasks that previously might have required a PhD in writing algorithms,” he said.　　The approach uses the same deep neural network techniques that web giants such as Google and Facebook use to recognize images and other tasks. VR demos act as the training, setting up neural network pathways or policies that the robots later refine by running inference tasks.　　The company currently builds its own Linux x86 servers using up to eight high-end Nvidia GPUs for training and one for inference work.　　“In the beginning, we will provide this as a service for users who come to us with their specs … that will help us perfect our platform,” he said. “At some point, we will license the software to systems integrators.”　　Chen claims that most of the money that a factory spends on a robot goes to systems integrators who train them — as much as $90,000 of an average total of $150,000. “We are going after that $90,000,” he said.　　Others agree that the brunt of the cost of a robot lies outside the base hardware, much of it in training.　　Factories are expected to buy more than 300,000 robots this year, said Dan Kara, research director for robotics at market watcher ABI Research. He pegs the average cost of an industrial robot at $42,000 and an installed and trained system at $126,000, much of it in software development.　　“Programming industrial robots is a difficult, costly, and time-consuming task,” said Kara in an email exchange. “Tools and techniques that simplify and speed robot-control programming are in high demand.”　　Kara listed Fizyr, Osaro, and Preferred Networks as three other companies working on teaching industrial robots. Google and Brown University are among others doing research in the area.　　Henrik I. Christensen, director of the Institute for Contextual Robotics at U.C. San Diego, said that PlusOne, Universal Robotics, and researchers in Seattle are also pursuing the area.　　“There are quite a few groups trying to use machine learning for robotics,” said Christensen.　　“The reality is that use of machine learning is still quite limited in this area,” said Chen. “The most common thing is using machine learning in inspection; many people are doing that.”　　Chen and two Berkeley colleagues co-authored more than 180 papers in the field before they founded Embodied Intelligence. The trio worked together at OpenAI for about 18 months when they decided that there was a commercial gap they thought they could fill.　　Other founders include Berkeley alums Pieter Abbeel and Rocky Duan, the startup’s chief scientist and chief technology officer, respectively. They were joined by Tianhao Zhang from Microsoft Research as a fourth co-founder.　　The startup raised a $7 million seed round, which Chen said could take it through its first two years. Investors were led by Amplify Partners and include Lux Capital, 11.2 Capital, A.Capital, SV Angels, Rostrum Capital, and angel investors such as Lip-Bu Tan, chief executive of Cadence.

Key word：

Robots,AI

Release time：2017-11-09 00:00 reading：1326 Continue reading>>

model	brand	Quote
MC33074DR2G	onsemi
BD71847AMWV-E2	ROHM Semiconductor
CDZVT2R20B	ROHM Semiconductor
RB751G-40T2R	ROHM Semiconductor
TL431ACLPR	Texas Instruments

model	brand	To snap up
TPS63050YFFR	Texas Instruments
BP3621	ROHM Semiconductor
STM32F429IGT6	STMicroelectronics
IPZ40N04S5L4R8ATMA1	Infineon Technologies
BU33JA2MNVX-CTL	ROHM Semiconductor
ESR03EZPJ151	ROHM Semiconductor

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