NVIDIA and Taiwan’s manufacturing ecosystem, together with Delta Electronics, Foxconn, TSMC and Wistron, are showcasing this week at COMPUTEX in Taipei the essential function digital twins play in accelerating industrial AI.
These electronics, semiconductor and robotics manufacturing leaders are utilizing Common Scene Description (OpenUSD) and NVIDIA Omniverse libraries and blueprints to develop bodily primarily based digital twins. That is remodeling manufacturing facility planning by unlocking new operational efficiencies and accelerating the event, testing and validation of autonomous robots and robotic fleets.
Many of those producers are additionally extending the digitalization of their factories to the true world, utilizing the NVIDIA AI Blueprint for video search and summarization (VSS) — now usually out there and a part of the NVIDIA Metropolis platform — to deploy video analytics AI brokers into their operations and drive extra automation and optimizations in defect detection and different operations.
Taiwan Producers Optimize Planning and Operations With Simulation and AI Brokers
Taiwan’s main electronics and semiconductor producers are utilizing digital twins, bodily primarily based simulation and AI brokers to optimize current operations and vastly speed up the planning and commissioning of recent factories.
Foxconn is main the best way. At its Taiwan services, Foxconn engineers depend on the Fii Digital Twin platform, developed with OpenUSD, Siemens and Omniverse applied sciences, to design and simulate robotic work cells, meeting traces and whole manufacturing facility layouts.
These digital twins hook up with materials management techniques and use Autodesk Flexsim, NVIDIA cuOpt and NVIDIA Isaac Sim to allow engineers to simulate and dynamically optimize the move of supplies, gear, autonomous cell robots (AMRs), automated guided automobiles, and different robots and people. By creating a normal digital twin mannequin for his or her factories, Foxconn can shortly migrate and simply reconfigure its designs and plans for brand spanking new manufacturing facility deployments.
Foxconn is utilizing the NVIDIA Isaac GR00T N1 mannequin, the NVIDIA Isaac GR00T-Mimic blueprint for artificial manipulation movement era and NVIDIA Isaac Lab to coach industrial manipulator arms and humanoid robots for performing advanced duties comparable to screw-tightening, choose and place, meeting and cable insertion. Foxconn robotics builders use the Mega NVIDIA Omniverse Blueprint to simulate and check giant robotic fleets comprising AMRs, manipulators and humanoid robots earlier than deploying them in services.
To speed up evaluation and decision-making, Foxconn engineers use their digital twin platform to conduct thermal assessments of POD rooms throughout totally different eventualities. By connecting their digital twins to the Cadence Actuality Digital Twin Platform and integrating NVIDIA PhysicsNeMo frameworks, groups can conduct thermal simulations 150x sooner, scale back thermal dangers and establish energy-saving alternatives.
Utilizing the Omniverse Blueprint for AI manufacturing facility digital twins, Foxconn can simulate and check GB200 Grace Blackwell Superchips in liquid-cooled PODs to duplicate the circumstances of an AI manufacturing facility.
The corporate can also be deploying video analytics AI brokers utilizing the VSS blueprint from NVIDIA Metropolis for real-time video evaluation and insights in stay manufacturing eventualities.
TSMC is collaborating with an AI-powered digital twins startup to optimize the planning and development of its new fabs. TSMC faucets into an AI engine and purposes constructed with Omniverse libraries to rework conventional 2D computer-aided designs into wealthy, interactive 3D layouts of their advanced services, together with specialised areas like clear rooms.
Visualizing these optimized layouts in a digital twin permits planning groups to proactively establish and resolve gear collisions, perceive system interdependencies, and assess impacts on house and operational key efficiency indicators.
This AI-driven strategy is enhanced by NVIDIA cuOpt for optimization and reinforcement studying with NVIDIA Isaac Lab, enabling the era of intricate, multilevel piping techniques in seconds — a activity that historically requires substantial effort and time. This allows engineers to nearly validate advanced pipe routing and drastically scale back design revisions, in the end streamlining all the fab improvement course of.
TSMC additionally makes use of imaginative and prescient language fashions and imaginative and prescient basis fashions to enhance automated defect classification workflows — boosting effectivity to categorise wafer product defects for engineers to pinpoint potential root causes for the problems. Past using digital twins and imaginative and prescient AI, TSMC additionally faucets into NVIDIA CUDA-X software program libraries and NVIDIA GPUs to speed up its complete semiconductor chip design workflow — from lithography with NVIDIA cuLitho to semiconductor course of simulation.
Wistron groups drive operational efficiencies, optimize format planning of their crops, and practice robots and staff with the Wistron Digital Twin (WiDT) platform. The platform is powered by software program from Autodesk, Cadence and Microsoft and faucets into NVIDIA AI and Omniverse libraries.
By connecting the WiDT platform to generative AI instruments and real-time information from floor mount expertise machines and shopfloor management techniques, operations groups can visualize real-time dashboards to shortly diagnose and enhance machine and plant efficiency.
Wistron robotics builders use the platform, and its integration with NVIDIA Isaac Sim, to simulate and check robotic arms. With a simulation-first strategy, groups decreased the time wanted for every arm to assemble elements on the manufacturing line by 12 seconds.
The Wistron digital twin platform additionally makes use of the VSS blueprint to create and curate coaching movies for educating staff how you can carry out and handle advanced duties and eventualities. The platform makes use of NVIDIA Cosmos Tokenizer to assist groups analyze and break down employee actions on the manufacturing line and enhance customary working procedures. This strategy is enabling Wistron to speed up onboarding, enhance employee productiveness and guarantee security.
Wiwynn makes use of AI-enabled digital twins constructed with Omniverse applied sciences to optimize manufacturing facility layouts, simulate manufacturing, combine cobots and improve high quality management by improved inspection and evaluation. These options have pushed important manufacturing and logistics innovation and efficiencies.
Pegatron’s PEGAVERSE and PEGAAi platforms equip engineers and manufacturing facility managers with digital twins that help many use instances, together with manufacturing facility planning, predictive upkeep, course of optimization, useful resource planning, distant monitoring and high quality management.
Groups additionally use the platforms to construct visible AI brokers to assist staff good advanced meeting duties. These AI brokers, developed with the NVIDIA AI Blueprint for VSS and NVIDIA Metropolis, have enabled Pegatron to enhance meeting processes, scale back labor prices by 7% and reduce meeting line defect charges by 67%.
Kenmec and MetAI are utilizing Omniverse applied sciences and the Mega NVIDIA Omniverse Blueprint to construct bodily correct digital twins for simulating, testing and deploying warehouse automation options. Collectively, the groups virtualized all the Chief Sensible Logistics Middle, making a full-fidelity simulation surroundings that brings collectively bodily dynamics, real-time controller logic, AI-driven testing and optimization — all inside a simulated surroundings.
GIGABYTE operations groups are utilizing digital twins developed with Omniverse libraries and related to stay IoT information from the manufacturing ground to enhance operational monitoring of manufacturing techniques. By visually flagging anomalies, together with gear points and delays, the digital twins assist groups shortly establish points, conduct root trigger evaluation and take corrective actions.
Quanta Cloud Expertise engineering, operations and logistics groups collaborate utilizing digital twin options constructed with Omniverse to speed up manufacturing facility planning. Digital twins present these cross-functional groups with entry to the most recent design information, enabling them to offer quick suggestions on proposed layouts, which ends up in optimized workflows and improved house utilization. Groups can additional prolong collaboration periods to exterior clients and suppliers to allow them to remotely contribute to design evaluations and validation.
Producers Embrace Digital Twins to Speed up Robotics Growth
Along with creating the longer term in manufacturing, Taiwan producers are utilizing digital twins, powered by Omniverse libraries and blueprints, to develop the subsequent wave of AI-enabled robots.
Delta Electronics is utilizing Isaac Sim to optimize digital element manufacturing and to simulate, practice and validate its complete vary of commercial robots — from AMRs to industrial manipulators.
The corporate is remodeling its experience right into a service by designing a cyber-physical built-in classroom to be launched quickly in Taiwan, the place clients study to make use of the DIATwin platform to simulate and combine Delta’s industrial gear and robots to make sure a more practical implementation into their very own manufacturing traces.
Techman Robotic is advancing clever automation at Volkswagen’s Clear Manufacturing unit. Utilizing Isaac Sim, Techman’s AI Cobots study to function on GESSbot AMRs in bodily correct simulations to carry out real-time meeting, inspection and adaptive manipulation duties with precision. By simulating robotic conduct and workflows nearly, Techman Robotic has decreased the time to program robots by 70% and improved robotic productiveness by 20%.
Foxlink is utilizing the Isaac GR00T N1 mannequin so as to add generalized intelligence and autonomy to its industrial robots utilized in manufacturing services.
Solomon’s AI imaginative and prescient answer, powered by NVIDIA Isaac Manipulator CUDA-X acceleration libraries, helps Inventec considerably speed up its robotic server inspection course of by boosting advanced movement planning pace by as much as 8x and lowering errors by 50%.
Kudan is integrating its Visible SLAM expertise with Isaac Perceptor CUDA-X acceleration libraries into NexAIoT’s AMR, NexMOV-2. This integration makes use of superior 3D notion and navigation, enabling them to navigate advanced, unstructured environments comparable to manufacturing, logistics and healthcare services with better precision and reliability.
MSI is powering its industrial robots with the NVIDIA Jetson AGX Orin module to carry out quite a lot of duties, from pick-and-place and materials dealing with to delivering payloads inside giant warehouses and services.
In healthcare, Adata and Advantech are collectively utilizing Isaac Sim, Isaac Perceptor and Jetson Orin to develop AMRs for disinfecting hospitals. This collaboration has decreased deployment time by 70% and made the disinfection course of 3x sooner. Ubitus can also be utilizing the Isaac platform to coach G1 humanoid robots to ship medical checkup supplies and specimens, serving to alleviate labor shortages in hospitals.
Study extra by watching the COMPUTEX keynote from NVIDIA founder and CEO Jensen Huang and attending periods at NVIDIA GTC Taipei, working by Might 22.
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Featured picture courtesy of Quanta (prime left), Wistron (prime proper), Foxconn (backside left), Pegatron (backside proper).