Altair’s Post

The Impact of Automation on Additive Manufacturing: The role of automation is becoming more prevalent all the time, with the usage of AI and robotics potentially making the utilization and adoption of additive manufacturing more successful. http://dlvr.it/TDBqZt

🏭🤖 Revolutionizing Automotive Manufacturing: BMW Spartanburg Welcomes the Humanoid Figure 2 Robot! 🚗✨ BMW's Spartanburg plant has taken a bold step into the future of manufacturing with the introduction of the Humanoid Figure 2 robot. This cutting-edge technology is set to transform the production line with features like: 🛠️ Advanced Dexterity: Capable of handling complex tasks with human-like precision. 💡 AI-Driven Automation: Smart algorithms that adapt and optimize operations in real-time. 🤝 Seamless Human-Robot Collaboration: Designed to work alongside employees, enhancing productivity and safety. ⏱️ Efficiency Boost: Streamlining processes to reduce errors and accelerate production timelines. 🚀 Follow Ethen Laing for more posts like this LAING International Machine Tools and Digital Technology #BMW #Automation #Industry40 #HumanoidRobot #Innovation #Manufacturing #AI #FutureOfWork

Rockwell Automation is using NVIDIA's AI robot development platform Issac in its Otto autonomous robots. As AI grows more prominent in the manufacturing sector, both companies continue to explore its applications and potential to create safer and smarter industrial AMRs. Click the link below to learn more, and read insights from Rev Lebaredian, Omniverse and Simulation Technology, NVIDIA and Ryan Gariepy CTO, of OTTO Motors by Rockwell Automation. #GenAI #Manufacturing #AMRs

The adoption of AI-driven robotic pick-and-pack systems will be essential over the next decade to increase efficiency, reduce costs and meet rising demand. Modular, open-architecture AI systems that enable varied supply chains and minimize risk are required to facilitate this evolution. In this AutomationWorld article Eugen Solowjow, Siemens R&D Manager of AI and Robotics, explains how AI for industrial applications can be accessible to customize, enhance and program without the need for proprietary systems. https://sie.ag/2AVWYx

The adoption of AI-driven robotic pick-and-pack systems will be essential over the next decade to increase efficiency, reduce costs and meet rising demand. Modular, open-architecture AI systems that enable varied supply chains and minimize risk are required to facilitate this evolution. In this AutomationWorld article Eugen Solowjow, Siemens R&D Manager of AI and Robotics, explains how AI for industrial applications can be accessible to customize, enhance and program without the need for proprietary systems. https://sie.ag/2AVWYx

TPC Mechatronics Corp. is streamlining enterprise operations across diverse industries, and bringga is here to shine a light on their smart factory solutions. Check out our latest video for a glimpse into how their pneumatics, linear motion systems, and AI robotics are driving efficiency and productivity in modern manufacturing. Discover the breadth of TPC Mechatronics' innovation at tpcpage.co.kr. #industrydiversity #smartfactories #TPCmechatronics #efficiencyexperts #AI #bringgainsights

"In the future, every factory will have a digital twin" - Jensen Huang, CES 2024. It's also true that every warehouse, distribution center and data center will have a digital twin. These digital twins and the associated digital threads, will become table stakes in optimizing your operations. In his 2025 CES keynote speech, Jensen Huang announced MEGA: An Omniverse Blueprint designed for developing, testing, and optimizing physical AI and robotic fleets at scale within a digital twin environment before deployment into real-world facilities. See how Accenture's clients and partners are leveraging this capability to drive real-world operational improvements: Industrial Digital Twins for Simulating Robot Fleets https://lnkd.in/gDsRX2s3

Revolutionizing Industrial Automation: Experience how NVIDIA Omniverse, Metropolis, Isaac, and cuOpt converge in AI gyms, training AI agents to navigate complex events alongside robots and humans.