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Articles

Albane Dersy named one of “10 women shaping the future of robotics in 2025”

The International Federation of Robotics has recognized Albane Dersy, co-founder and COO of Inbolt, as one of the “10 Women Shaping the Future of Robotics 2025.” At a time when manufacturers are racing to automate, Albane’s leadership stands out for bringing flexibility and intelligence to robotics on a global scale. This article explores her career, the impact of her work with Inbolt, and the leadership lessons she shares with the next generation of innovators.

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Want to Sound Smart About Vision‑Guidance for Robots?

Whether you’re new to the topic or looking to deepen your knowledge, here are 11 key terms every manufacturing and automation professional should know.

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Inbolt Joins NVIDIA Inception to Accelerate AI-Driven Automation

Inbolt joins the NVIDIA Inception program to boost its AI-driven automation solutions. This partnership provides access to exclusive resources, accelerating Inbolt’s mission to enhance real-time 3D vision for robots in manufacturing.

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Inbolt x UR AI Accelerator: Ushering in the Era of Vision-Guided Robotics by Default

Inbolt’s AI-powered software is now integrated into the NVIDIA-powered Universal Robots AI Accelerator Kit, offering a seamless, out-of-the-box solution for intelligent cobot systems.

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Inbolt and FANUC Pioneer Robots that Think and Act on the Fly at Moving Assembly Line Speeds

Inbolt and FANUC are launching a manufacturing breakthrough enabling FANUC robots to tackle one of the most complex automation challenges: performing production tasks on continuously moving parts at line speeds. With Inbolt’s AI-powered 3D vision, manufacturers can now automate screw insertion, bolt rundown, glue application and other high-precision tasks on parts moving down the line without costly infrastructure investments or cycle time compromises.

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Sim2Real Gap: Why Machine Learning Hasn’t Solved Robotics Yet

The most successful areas of application for deep learning so far have been Computer Vision (CV), where it all started, and more recently, Natural Language Processing (NLP). While research in Robotics is more active than ever, the translation from research to real-world applications is still a promise, not a reality. But why?

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