logo
FANUC Introduces Enhanced, Next-Gen ROBOGUIDE Robot Simulation Software

FANUC Introduces Enhanced, Next-Gen ROBOGUIDE Robot Simulation Software

Business Wire26-06-2025
ROCHESTER HILLS, Mich.--(BUSINESS WIRE)--Rebuilt and redesigned, FANUC announces the release of ROBOGUIDE Version 10, the latest and most advanced iteration of its industry-leading offline robot programming and simulation software. Designed to enhance efficiency, visualization, and user experience, ROBOGUIDE continues to be the go-to solution for companies seeking to streamline automation design and implementation.
ROBOGUIDE allows users to create, program and simulate robotic work cells in 3D without the need for physical prototypes, reducing costs and improving accuracy in automation planning. With the launch of this next-generation software, FANUC is introducing several powerful upgrades, including:
New Virtual Reality Capabilities – Users can now experience work cells in a fully immersive environment, improving line of sight and spatial awareness like never before. This enables engineers and operators to interact with automation designs in a more intuitive and insightful way with virtual reality playback and walk through.
High-Performance 64-Bit Architecture – ROBOGUIDE is now a 64-bit application, delivering higher performance, increased content capacity, and improved processing power for complex automation systems.
Modernized User Interface – Featuring a ribbon-style toolbar, floating and docking windows, and improved graphics, ROBOGUIDE V10 makes navigation more intuitive and efficient. Using a new drag-and-drop tool, users can quickly locate and define robots with ease.
Enhanced Support for Native CAD Import – Simplifying integration and design processes, ROBOGUIDE now supports the import of many more native CAD formats, making it easier than ever to import, adjust, and optimize automation layouts.
"With the release of our enhanced ROBOGUIDE V10, we're delivering a smarter, more powerful simulation tool that meets the evolving needs of the automation industry," said Eric Potter, general manager, Robot Application Segment, at FANUC America. "Across nearly every industry, this immersive simulation software allows manufacturers to effectively visualize work cell effectiveness before actual installation, without the physical need or expense of a prototype setup.'
ROBOGUIDE V10 is now available to users alongside the previous version, sharing a single license and ensuring that FANUC customers can take advantage of the latest advancements in robotic simulation. To see, ROBOGUIDE V10's enhancements—including enhanced graphics, a modern interface, drag-and-drop robot addition, and virtual reality support — watch the ROBOGUIDE V10 New Features video.
Learn more on ROBOGUIDE and other topics on FANUC America's Tech Transfer website which offers technical tutorial videos on the many functions of FANUC robots and cobots for students, customers, integrators and industry partners. Get engineer-guided tips, video tutorials, and answers to common questions for programming and setup of robots and cobots.
About FANUC America Corporation
FANUC America Corporation is a subsidiary of FANUC CORPORATION in Japan, and provides industry-leading CNC systems, robotics and ROBOMACHINEs. FANUC's innovative technologies and proven expertise help manufacturers in the Americas maximize productivity, reliability and profitability. Headquartered in Rochester Hills, Mich., FANUC America has facilities throughout North and South America. Visit www.fanucamerica.com for more information or explore the CRX line of cobots at CRX.FANUCAmerica.com.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

KUKA, ABB, and FANUC Lead with Advanced Automation and Precision Manufacturing Solutions
KUKA, ABB, and FANUC Lead with Advanced Automation and Precision Manufacturing Solutions

Yahoo

time2 days ago

  • Yahoo

KUKA, ABB, and FANUC Lead with Advanced Automation and Precision Manufacturing Solutions

The 3D Printing Robots Companies Quadrant offers an insightful analysis of the global 3D printing robots market, showcasing key industry players, technological advancements, and emerging trends. Evaluating over 110 companies, the quadrant identifies the top 12 leaders. As automation and personalized manufacturing drive market growth, challenges like high costs and the skills gap persist. Notable companies like KUKA AG, ABB, and FANUC CORPORATION are recognized for their innovation and strategic initiatives. These firms lead in applications across automotive, aerospace, construction, and healthcare, driving the future of scalable, customized production. Dublin, Aug. 14, 2025 (GLOBE NEWSWIRE) -- The "3D Printing Robot - Company Evaluation Report, 2025" report has been added to 3D Printing Robots Companies Quadrant is a comprehensive industry analysis that provides valuable insights into the global market for 3D Printing Robots. This quadrant offers a detailed evaluation of key market players, technological advancements, product innovations, and emerging trends shaping the industry. The 360 Quadrants evaluated over 110 companies, of which the Top 12 3D Printing Robots Companies were categorized and recognized as quadrant leaders.3D printing robots are integrated systems that combine robotic arms or gantry frameworks with additive manufacturing print heads, enabling automated, scalable production of complex geometries using materials such as polymers, plastics, metals, and concrete. These systems are increasingly deployed in manufacturing environments, supporting applications from rapid prototyping to large-scale, customized growth is primarily driven by the shift toward automation and personalized manufacturing, technological advancements in robotic arms and additive manufacturing, and rising demand in the aerospace and defense sectors. However, challenges such as high initial investment costs, a shortage of skilled professionals, integration complexities, and concerns about durability and structural integrity may hinder market 360 Quadrant maps the 3D Printing Robots companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the 3D Printing Robots quadrant. The top criteria for product footprint evaluation included BY Component & service (Robot Arms, 3D Printing Heads, Software, Services), By Type (Articulated, Cartesian, SCARA, Polar, Delta, Other Robot Types), BY Application (Prototyping, Tooling, Functional Part Manufacturing), and By End-Use Industry (Automotive, FMCG, Aerospace & Defense, Construction, Culinary, Other End-use Industries).Key PlayersKey players are actively investing in research and development, forming strategic partnerships, and engaging in collaborative initiatives to drive innovation, expand their global footprint, and maintain a competitive edge in this rapidly evolving 3 Companies KUKA AGKUKA AG, founded in 1898 and based in Augsburg, Germany, It's a world leader in automation technologies and with a notable presence in the 3D printing robotics market. The company provides end-to-end automation systems across diverse industries, including automotive, aerospace, electronics, healthcare, and food and beverage. Its extensive portfolio features advanced robotic systems, control technologies, and software designed to increase productivity, lower operational costs, and optimize manufacturing efficiency. KUKA offers specialized 3D printing robotic solutions such as the KR QUANTEC, KR 4 AGILUS, and KR IONTEC - widely used in manufacturing, construction, and defense sectors for high-precision and large-format 3D printing is a global leader in robotics and automation, offering a comprehensive range of 3D printing robots tailored for industries such as automotive, aerospace, construction, and healthcare. It also provides the RobotStudio Suite, a simulation and programming software that allows users to virtually model and optimize robotic operations before implementation. The company is structured into four main business segments: Electrification, Motion, Process Automation, and Robotics & Discrete Automation. Its 3D printing solutions are offered through the Robotics & Discrete Automation segment, which includes industrial and collaborative robots, machine automation, and factory integration CORPORATIONFANUC CORPORATION is a leading developer of industrial robots, CNC systems, and advanced automation technologies. The company operates through four main divisions: Factory Automation (FA), Robot, Robomachine, and Service. Within its robot division, FANUC offers a portfolio of over 100 industrial robots tailored to diverse Topics Covered: 1 Introduction1.1 Market Definition1.2 Inclusions and Exclusions1.3 Stakeholders2 Executive Summary3 Market Overview3.1 Introduction3.2 Market Dynamics3.2.1 Drivers3.2.1.1 Shift Toward Automation and Personalized Manufacturing3.2.1.2 Advancements in Robotic Arms and Additive Manufacturing3.2.1.3 High Demand from Aerospace & Defense Sector3.2.2 Restraints3.2.2.1 High Initial Investment Costs3.2.2.2 Lack of Skilled Workforce3.2.3 Opportunities3.2.3.1 Focus of Construction Industry on Sustainability3.2.3.2 Emergence of Mobile 3D Printing Robotic Solutions3.2.3.3 Need for Customized Healthcare Products3.2.4 Challenges3.2.4.1 Complexities Associated with System Integration3.2.4.2 Concerns Regarding Durability and Structural Integrity3.3 Porter's Five Forces Analysis3.4 Ecosystem Analysis3.5 Value Chain Analysis3.6 Technology Analysis3.6.1 Key Technologies3.6.1.1 Selective Lazer Melting (Slm)3.6.1.2 Fused Deposition Modelling (Fdm)3.6.1.3 Binder Jetting3.6.2 Adjacent Technologies3.6.2.1 Post-Processing Robotics3.6.3 Complementary Technologies3.6.3.1 Ai for Defect Detection3.6.3.2 Cloud Integration3.7 Patent Analysis3.8 Key Conferences and Events, 2025-20263.9 Trends/Disruptions Impacting Customer Business3.10 Impact of Ai on 3D Printing Market4 Competitive Landscape4.1 Overview4.2 Key Player Strategies/Right to Win, 2021-20254.3 Revenue Analysis, 2021-20244.4 Market Share Analysis, 20244.5 Company Valuation and Financial Metrics, 20254.6 Brand/Product Comparison4.7 Company Evaluation Matrix: Key Players, 20244.7.1 Stars4.7.2 Emerging Leaders4.7.3 Pervasive Players4.7.4 Participants4.7.5 Company Footprint: Key Players, 20244.7.5.1 Company Footprint4.7.5.2 Region Footprint4.7.5.3 Component Footprint4.7.5.4 Robot Type Footprint4.7.5.5 End-Use Industry Footprint4.8 Company Evaluation Matrix: Startups/Smes, 20244.8.1 Progressive Companies4.8.2 Responsive Companies4.8.3 Dynamic Companies4.8.4 Starting Blocks4.8.5 Competitive Benchmarking: Startups/Smes, 20244.8.5.1 Detailed List of Key Startups/Smes4.8.5.2 Competitive Benchmarking of Key Startups/Smes4.9 Competitive Scenario4.9.1 Product Launches4.9.2 Deals5 Company Profiles Kuka Ag Abb Yaskawa Electric Corporation Fanuc Corporation Universal Robots A/S Massive Dimension Cead B.V. Caracol Weber Maschinenfabrik Meltio3D Comau Baubot GmbH Mx3D Twente Additive Manufacturing Dobot Dyze Design Rev3Rd S.R.L. Adaxis Sas Orbital Composites Inc. Ai Build Limited Octopuz Indusuite Hyperion Robotics Hypertherm, Inc. Ingersoll Machine Tools, Inc. 3D Minerals For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

How a once-tiny research lab helped Nvidia become a $4 trillion-dollar company
How a once-tiny research lab helped Nvidia become a $4 trillion-dollar company

TechCrunch

time4 days ago

  • TechCrunch

How a once-tiny research lab helped Nvidia become a $4 trillion-dollar company

When Bill Dally joined Nvidia's research lab in 2009, it employed only about a dozen people and was focused on ray tracing, a rendering technique used in computer graphics. That once-small research lab now employs more than 400 people, who have helped transform Nvidia from a video game GPU startup in the nineties to a $4 trillion-dollar company fueling the artificial intelligence boom. Now, the company's research lab has its sights set on developing the tech needed to power robotics and AI. And some of that lab work is already showing up in products. The company unveiled Monday a new set world AI models, libraries, and other infrastructure for robotics developers. Dally, now Nvidia's chief scientist, started consulting for Nvidia in 2003 while he was working at Stanford. When he was ready to step down from being the department chair of Stanford's computer science department a few years later, he planned to take a sabbatical. Nvidia had a different idea. Bill Dally / Nvidia David Kirk, who was running the research lab at the time, and Nvidia CEO Jensen Huang, thought a more permanent position at the research lab was a better idea. Dally told TechCrunch the pair put on a 'full-court press' on why he should join Nvidia's research lab and eventually convinced him. 'It wound up being kind of a perfect fit for my interests and my talents,' Dally said. 'I think everybody's always searching for the place in life where they can make the biggest, you know, contribution to the world. And I think for me, it's definitely Nvidia.' When Dally took over the lab in 2009, expansion was first and foremost. Researchers started working on areas outside of ray tracing right away, including circuit design and VLSI, or very large-scale integration, a process that combines millions of transistors on a single chip. The research lab hasn't stopped expanding since. Techcrunch event Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital, Elad Gil — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $600+ before prices rise. Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $675 before prices rise. San Francisco | REGISTER NOW 'We try to figure out what will make the most positive difference for the company because we're constantly seeing exciting new areas, but some of them, you know, they do great work, but we have trouble saying if [we'll be] wildly successful at this,' Dally said. For a while that was building better GPUs for artificial intelligence. Nvidia was early to the future AI boom and started tinkering with the idea of AI GPUs in 2010 — more than a decade before the current AI frenzy. 'We said this is amazing, this is gonna completely change the world,' Dally said. 'We have to start doubling down on this and Jensen believed that when I told him that. We started specializing our GPUs for it and developing lots of software to support it, engaging with the researchers all around the world who were doing it, long before it was clearly relevant.' Physical AI focus Now, as Nvidia holds a commanding lead in the AI GPU market, the tech company has started to seek out new areas of demand beyond AI data centers. That search has led Nvidia to physical AI and robotics. 'I think eventually robots are going to be a huge player in the world and we want to basically be making the brains of all the robots,' Dally said. 'To do that we need to start, you know, developing the key technologies.' That's where Sanja Fidler, the vice president of AI research at Nvidia, comes in. Fidler joined Nvidia's research lab in 2018. At the time, she was already working on simulation models for robots with a team of students at MIT. When she told Huang about what they were working on at a researchers' reception, he was interested. 'I could not resist joining,' Fidler told TechCrunch in an interview. 'It's just such a, you know, it's just such a great topic fit and at the same time was also such a great culture fit. You know, Jensen told me, come work with me, not with us, not for us, you know?' She joined Nvidia and got to work creating a research lab in Toronto called Omniverse, an Nvidia platform, that was focused on building simulations for physical AI. Sanja Fidler / Nvidia The first challenge to building these simulated worlds was finding the necessary 3D data, Fidler said. This included finding the proper volume of potential images to use and building the technology needed to turn these images into 3D renditions the simulators could use. 'We invested in this technology called differentiable rendering, which essentially makes rendering amendable to AI, right?' Fidler said. 'You go [from] rendering means from 3D to image or video, right? And we want it to go the other way.' World models Omniverse released the first version of its model that turns images into 3D models, GANverse3D, in 2021. Then it got to work on figuring out the same process for video. Fidler said they used videos from robots and self-driving cars to create these 3D models and simulations through its Neuric Neural Reconstruction Engine, which the company first announced in 2022. She added these technologies were the backbone of the company's Cosmos family of world AI models that were announced at CES in January. Now, the lab is focused on making these models faster. When you play a video game or simulation you want the tech to be able to respond in real time, Fidler said, for robots they are working to make the reaction time even faster. 'The robot doesn't need to watch the world in the same time, in the same way as the world works,' Fidler said. 'It can watch it like 100x faster. So if we can make this model significantly faster than they are today, they're going to be tremendously useful for robotic or physical AI applications.' The company continues to make progress on this goal. Nvidia announced a fleet of new world AI models designed for creating synthetic data that can be used to train robots at the SIGGRAPH computer graphics conference on Monday. Nvidia also announced new libraries and infrastructure software aimed at robotics developers too. Despite the progress — and the current hype about robots, especially humanoids — the Nvidia research team remains realistic. Both Dally and Fidler said the industry is still at least a few years off from having a humanoid in your home, with Fidler comparing it to the hype and timeline regarding autonomous vehicles. 'We're making huge progress and I think you know AI has really been the enabler here,' Dally said. 'Starting with visual AI for the robot perception, and then you know generative AI, that's being hugely valuable for task and motion planning and manipulation. As we solve each of these individual little problems and as the amount of data we have to train our networks grows, these robots are going to grow.'

Are Wall Street Analysts Bullish on NVIDIA Stock?
Are Wall Street Analysts Bullish on NVIDIA Stock?

Yahoo

time5 days ago

  • Yahoo

Are Wall Street Analysts Bullish on NVIDIA Stock?

Santa Clara, California-based NVIDIA Corporation (NVDA) is a key innovator of computer graphics and AI technology. The company provides graphics and compute and networking solutions. With a market cap of $4.5 trillion, NVDA develops a platform for scientific computing, AI, data science, autonomous vehicles, robotics, metaverse, and 3D internet applications, as well as focuses on PC graphics by serving clients worldwide. Shares of this chip giant have considerably outperformed the broader market over the past year. NVDA has gained 74.1% over this time frame, while the broader S&P 500 Index ($SPX) has rallied nearly 20.1%. In 2025, NVDA stock is up 36.1%, surpassing the SPX's 8.6% rise on a YTD basis. More News from Barchart 'It Will Be the Biggest Product Ever': Elon Musk Says Tesla's Optimus Robots Will Be Bigger Than Even Robotaxi Dear Archer Aviation Stock Fans, Mark Your Calendars for August 11 This Hidden-Gem AI Stock Has a Major Catalyst Coming on August 11 Tired of missing midday reversals? The FREE Barchart Brief newsletter keeps you in the know. Sign up now! Zooming in further, NVDA's outperformance looks more pronounced compared to the iShares Semiconductor ETF (SOXX). The exchange-traded fund has gained about 14% over the past year. Moreover, NVDA's gains on a YTD basis outshine the ETF's 12.7% returns over the same time frame. NVIDIA's Data Center business is driving its impressive growth, fueled by the high demand for AI. The company's Hopper 200 and Blackwell GPU platforms are being widely adopted by cloud and enterprise customers, particularly hyperscalers, to support their AI workloads. With the upcoming Blackwell Ultra and Vera Rubin platforms, NVIDIA is expected to further solidify its position in the AI computing market. NVDA reported its Q1 results on May 28, and its shares closed up by 3.3% in the following trading session. Its adjusted EPS of $0.81 fell short of Wall Street's expectations of $0.85. The company's revenue was $44.1 billion, beating Wall Street forecasts of $42.9 billion. For the current fiscal year, ending in January 2026, analysts expect NVDA's EPS to grow 37.2% to $4.02 on a diluted basis. The company's earnings surprise history is mixed. It beat the consensus estimate in three of the last four quarters while missing the forecast on another occasion. Among the 45 analysts covering NVDA stock, the consensus is a 'Strong Buy.' That's based on 38 'Strong Buy' ratings, two 'Moderate Buys,' four 'Holds,' and one 'Strong Sell.' This configuration is more bullish than a month ago, with 37 analysts suggesting a 'Strong Buy,' and three recommending a 'Moderate Buy.' On Aug. 7, The Goldman Sachs Group, Inc. (GS) analyst James Schneider reiterated a 'Buy' rating on NVDA and set a price target of $200, implying a potential upside of 9.5% from current levels. The mean price target of $185.16 represents a 1.3% premium to NVDA's current price levels. The Street-high price target of $250 suggests an ambitious upside potential of 36.8%. On the date of publication, Neha Panjwani did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store