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Articles

Want to Sound Smart About Vision‑Guidance for Robots?

Whether you’re new to the topic or looking to deepen your knowledge, here are 10 key terms every manufacturing and automation professional should know.

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Articles

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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Articles

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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Articles

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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Articles

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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Articles

Exploring the potential of LLMs in robotics: an interview with Louis Dumas

Robotics has always been at the forefront of technological advancement, but translating human ideas into robotic actions remains one of its greatest challenges. In an interview with Louis Dumas, co-founder and CTO of inbolt, he shared his insights into the transformative potential and current limitations of Large Language Models (LLMs) in the robotics field.

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