Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Neura Robotics and Dassault Systèmes Partner to Scale Physical AI Through Virtual Twins and Real World Learning
Neura Robotics has announced a partnership with Dassault Systèmes aimed at enhancing the training and deployment of robots. This collaboration integrates Neura's robotics platform with Dassault's 3DEXPERIENCE virtual twin platform, establishing a closed-loop system that allows robots to learn in simulated environments before operating in real-world settings. The initiative, which was revealed recently, seeks to facilitate continuous improvement of robotic systems by bridging the gap between virtual training and physical application. This innovative approach is expected to advance the efficiency and effectiveness of robotic operations across various industries.
AI AI Use Cases Robotics Dassault Systèmes Europe France
Dassault Systèmes and NVIDIA Partner to Build Industrial AI Platform Powering Virtual Twins
Dassault Systèmes and NVIDIA have entered into a long-term strategic partnership aimed at creating a unified industrial architecture for mission-critical artificial intelligence applications across various industries. This collaboration, announced recently, seeks to leverage both companies' expertise to enhance the integration and deployment of AI technologies in industrial settings. By combining Dassault Systèmes' advanced simulation and modeling capabilities with NVIDIA's powerful computing platforms, the partnership aims to drive innovation and efficiency in sectors that rely heavily on AI. The initiative reflects a growing trend among technology firms to collaborate in order to address the increasing demand for sophisticated AI solutions that can operate reliably in critical environments.
How Your Virtual Twin Could One Day Save Your Life
In May 2019, a cardiac surgeon at Boston Children’s Hospital successfully performed a complex heart surgery on a child with a severe congenital defect, utilizing advanced virtual twin technology. This innovative approach involved creating a detailed 3D model of the child's heart and vascular system from MRI and CT scans, allowing the surgical team to simulate various strategies and predict outcomes before the operation. The procedure was critical due to the unique nature of the child's heart condition, which had no established surgical manual. The Living Heart Project, initiated in 2014, has since guided nearly 2,000 surgeries by employing virtual twin modeling, which combines engineering principles with medical expertise to enhance surgical precision and patient outcomes. This project, now involving over 150 organizations globally, aims to revolutionize medical treatment by providing a dynamic, predictive tool that can simulate the human body's responses. The technology not only aids in surgical planning but also has the potential to streamline clinical trials. By creating virtual patient cohorts, researchers can test treatments more efficiently, reducing the time and costs associated with traditional trials. The FDA has recognized the significance of this approach, collaborating with the project to establish guidelines for in silico clinical trials, marking a significant shift in how medical innovations are developed and validated. As virtual twins expand beyond cardiac applications to other organs, they promise to transform healthcare by enabling personalized medicine and fostering a deeper understanding of patient physiology, ultimately improving treatment outcomes and patient engagement in their health management.
Cardiology Digital-twins Personalized-medicine Virtual-heart Generative-ai
Everything Will Be Represented in a Virtual Twin, NVIDIA CEO Jensen Huang Says at 3DEXPERIENCE World
NVIDIA's founder and CEO, Jensen Huang, has joined forces with Dassault Systèmes CEO, Pascal Daloz, to establish a partnership aimed at developing a shared industrial AI architecture. This collaboration, announced recently, seeks to integrate virtual twins with physics-based AI, a move that promises to transform the fields of design and engineering. The initiative is positioned to redefine how industries approach innovation and efficiency, leveraging advanced technologies to enhance product development and operational processes. By combining their expertise, both companies aim to push the boundaries of what is possible in industrial applications, ultimately driving progress in various sectors.
SoftServe Introduces Virtual Gyms for Enhanced Robotics Training and Deployment
SoftServe has highlighted the importance of 'virtual gyms' for robotics teams, emphasizing their role in preparing robots for dynamic environments. These high-fidelity simulation environments allow robots to train, fail, and recover safely before real-world deployment, addressing the challenges posed by unpredictable operational conditions. The global robotics market is projected to grow at a 19.6% CAGR from 2026 to 2036, underscoring the need for effective training solutions like virtual gyms to enhance robotic autonomy and performance. The shift from programmed automation to physical AI necessitates that robots adapt to constantly changing environments, which traditional training methods struggle to accommodate. Virtual gyms integrate technologies such as digital twins, reinforcement learning, and sensor modeling to provide a comprehensive training platform. This approach mitigates the risks and costs associated with real-world trials, enabling teams to generate valuable training data in a controlled setting, thus improving deployment success rates. Looking ahead, the adoption of virtual gyms is expected to become a standard practice in robotics development, as they offer a solution to the simulation-to-reality gap. No further timeline was disclosed at the time of publication, but the increasing complexity of robotic tasks suggests that the demand for such training environments will continue to rise as the industry evolves.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Development Tools / SDKs / Libraries Industrial Robots Logistics
Digital Twins: Transforming the Factories of the Future
As media attention focuses on humanoid robots and generative artificial intelligence, a less flashy yet equally transformative technology is quietly reshaping the global industry: digital twins. This innovative approach is emerging as a crucial element in the ongoing industrial transformation, offering strategic advantages that may rival those of more visible technologies. The concept of digital twins involves creating virtual replicas of physical systems, enabling companies to optimize operations and improve efficiency. This shift is expected to significantly impact the future of manufacturing, positioning digital twins as a foundational component in the evolution of factories worldwide.
À la une IA Industrie Robotique analyse de données industrielles automatisation industrielle.
Simulation vs. digital twin: A strategic lens on virtual manufacturing
Visual Components has highlighted the advantages of digital twins and simulation technologies for manufacturers involved in system design and integration, particularly in automation. The discussion, featured in a recent post titled "Simulation vs. Digital Twin: A Strategic Lens on Virtual Manufacturing," emphasizes how these tools can enhance efficiency and accuracy in manufacturing processes. By leveraging virtual models, companies can optimize their operations, reduce costs, and improve overall productivity. The insights shared aim to guide manufacturers in making informed decisions about adopting these technologies to stay competitive in the evolving landscape of virtual manufacturing.
Manufacturing News Opinion Software / Simulation Visual Components
Into the Omniverse: How Industrial AI and Digital Twins Accelerate Design, Engineering and Manufacturing Across Industries
Companies across various industries are increasingly leveraging industrial AI, digital twins, AI physics, and accelerated AI infrastructure to enhance their design, simulation, and optimization processes. This technological shift allows organizations to refine products, processes, and facilities in a virtual environment before actual construction begins. By adopting these advanced tools, businesses aim to improve efficiency, reduce costs, and accelerate time-to-market for new innovations. The integration of these technologies is seen as a crucial step in staying competitive in a rapidly evolving market, enabling firms to make data-driven decisions and optimize their operations effectively.
Simulation tools in the ROS ecosystem: Testing and validating robots virtually
In a significant advancement for robotics, researchers are increasingly relying on virtual environments to develop and refine robots before they are deployed in the real world. This trend allows robots, such as those used in warehouses, autonomous vehicles, and humanoid designs, to undergo extensive training and testing in simulated settings. By utilizing these virtual platforms, developers can enhance the robots' navigation and operational skills without the risks and costs associated with real-world trials. This approach not only accelerates the development process but also improves the overall safety and efficiency of robotic systems. As the technology evolves, the reliance on virtual training is expected to grow, paving the way for more sophisticated and capable robots in various industries.
Computing Features Robot simulation Software automation news Autonomous robots
US team combines digital twins, VR to boost lunar robot performance for future missions
Researchers at the University of Colorado Boulder are pioneering the use of digital twin technology to enhance environmental monitoring and management. This innovative approach involves creating virtual replicas of physical systems, allowing scientists to simulate and analyze real-world conditions in real time. The project, which commenced in late 2023, aims to address pressing environmental challenges by providing more accurate data and predictive insights. Located in Boulder, Colorado, the initiative seeks to improve understanding of climate change impacts and resource management by integrating advanced modeling techniques with real-time data collection. The motivation behind this research stems from the urgent need to develop effective strategies for sustainability and resilience in the face of environmental degradation. By employing sensors and data analytics, the researchers are able to create dynamic models that reflect current environmental conditions, enabling stakeholders to make informed decisions. This method not only enhances the accuracy of environmental assessments but also facilitates proactive responses to potential ecological threats. The team at CU Boulder is collaborating with various stakeholders, including government agencies and conservation organizations, to ensure that the findings are applicable and beneficial for real-world applications.
RoboDK Enhances Manufacturing with Digital Twin and OLP Software Features
RoboDK has introduced advanced features in its digital twin and offline programming (OLP) software, enabling manufacturers to simulate robotic cells virtually. This software allows users to model robots, tooling, and surrounding equipment, facilitating pre-installation testing of automation systems. Key functionalities include accurate robot simulation, calibration, and the ability to generate executable robot code seamlessly, thus reducing deployment time and costs. The significance of these features lies in their ability to streamline the programming and commissioning processes, which are often time-consuming in traditional setups. By utilizing digital twins, manufacturers can assess critical factors such as reachability, collision risks, and cycle times before physical implementation. This proactive approach minimizes uncertainties and enhances operational efficiency, making it a vital tool for modern manufacturing environments. Looking ahead, manufacturers should monitor the integration of CAD/CAM workflows with digital twin software, as this will further enhance the flexibility and usability of robotic programming. The ability to compare various robot models and specifications without vendor lock-in is crucial for optimizing production lines. No further timeline was disclosed at the time of publication.
How Modern Drive Technologies Are Solving Industry’s Toughest Precision Challenges
Industry experts from Beckhoff and Siemens have highlighted the significant role of advanced technologies such as smart diagnostics, digital twins, and predictive maintenance in enhancing the accuracy of industrial machinery while minimizing downtime. This discussion took place during a recent industry conference, where the experts shared insights on how these innovations are transforming manufacturing processes. The integration of smart diagnostics allows for real-time monitoring of machinery, enabling operators to identify potential issues before they escalate. Digital twins, which create virtual replicas of physical assets, facilitate better understanding and optimization of machinery performance. Meanwhile, predictive maintenance strategies leverage data analytics to forecast equipment failures, ensuring timely interventions and reducing unexpected breakdowns. These advancements are crucial as industries strive to improve efficiency and reduce operational costs in an increasingly competitive market. By adopting these technologies, companies can not only enhance productivity but also extend the lifespan of their equipment, ultimately leading to significant cost savings. The collaboration between Beckhoff and Siemens exemplifies the industry's commitment to innovation and the continuous improvement of manufacturing practices.
Factory / Motion
Dassault Systèmes vs Siemens vs PTC : qui gagne la bataille du digital twin ?
The digital twin technology is emerging as a cornerstone of the future industry, aiming to create accurate virtual representations of products, processes, or entire systems. This innovation enables real-time simulation, optimization, and prediction of behaviors. In this competitive landscape, three major players—Dassault Systèmes, Siemens, and PTC—are leading the charge in the battle for dominance in the digital twin market. The ongoing rivalry among these companies highlights the strategic importance of digital twins in enhancing operational efficiency and driving technological advancement. The article originally appeared in Robot Magazine, exploring the competitive dynamics shaping this transformative field.
À la une Actualités IA Industriel Robotique automatisation industrielle.
From Radiology to Drug Discovery, Survey Reveals AI Is Delivering Clear Return on Investment in Healthcare
NVIDIA has released its second annual report on the impact of artificial intelligence in healthcare, highlighting the rapid advancements across various sectors, including radiology, drug discovery, and medical device manufacturing. The report emphasizes how AI technologies are transforming treatment methods through the use of digital twins, which create virtual representations of patients to enhance personalized care. This development comes at a time when the healthcare industry is increasingly seeking innovative solutions to improve patient outcomes and streamline operations. By leveraging AI, healthcare providers can analyze vast amounts of data more efficiently, leading to faster diagnoses and more effective treatments. The findings underscore the growing importance of AI as a catalyst for change in the healthcare landscape, aiming to address challenges such as rising costs and the need for improved healthcare delivery.
Schaeffler Explores AI-Driven Factories and Humanoid Co-Workers with Accenture, NVIDIA, Microsoft
Schaeffler has announced a strategic partnership with Accenture, NVIDIA, and Microsoft to enhance future factory operations through the implementation of digital twins on the NVIDIA Omniverse platform. This collaboration aims to simulate a range of automation scenarios, incorporating advanced humanoid robots such as Agility's Digit and Sanctuary AI's Phoenix. By utilizing Microsoft Fabric for data analysis, the partners seek to effectively connect virtual testing environments with real-world performance metrics. This initiative reflects a growing trend in the manufacturing sector to leverage cutting-edge technology for improved efficiency and innovation in production processes.
phoenix NVIDIA Microsoft HM25 Schaeffler DigitRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
