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Toyota Europe uses digital twin to commission autonomous forklifts
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Toyota Material Handling Europe, in collaboration with Nvidia and SoftServe, uses a digital twin to complete testing and validation of autonomous forklifts before they enter customer sites; the company says the approach can reduce commissioning workload by up to 50% and shorten time to market for autonomous material handling systems by up to 40%. The project uses Nvidia Omniverse libraries and the Isaac Sim simulation framework, with SoftServe building the digital twin environment. Toyota also used synthetic data generated by Omniverse, augmented with Nvidia Cosmos models, to train its camera-based pallet detection system; the company says that in evaluations on real warehouse datasets, target detection recall improved by more than 70%.
Report timeline
- Toyota Material Handling says digital twins can halve autonomous forklift commissioning time
Toyota Material Handling Europe is working with Nvidia and SoftServe on a simulation-first approach that completes testing and validation before equipment reaches customer sites, aiming to cut commissioning effort by up to 50% and shorten time to market for autonomous material handling systems by up to 40%.
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