Discover Advanced Automation at MOTEK 2023
We are thrilled to announce that inbolt will be part of this event, showcasing our tightening demo on moving line, and our picking and glue application using the UR5.
Mark your calendars for Motek, the global tradeshow for production and assembly automation.
Taking place from Tuesday, 10th October, to Friday, 13th October 2023 at Messe Stuttgart in Germany, the tradeshow is a hub for technological marvels in mechanical engineering and automation process chains.
Come and meet our robotics experts in Hall 5, Stand 5118-4.
📆 🎫 Reserve Your Spot Now! 🎫
(Or scan the QR code below)
An Epicenter of Innovation and Progress
Founded in 1982, MOTEK is the meeting place for professionals immersed in automation, material flow, and handling technology.
Every October, MOTEK focuses on efficiency and economic improvements across various industrial sectors including automobile manufacturing, machinery production, electrical, etc.
Inbolt at MOTEK
We are thrilled to announce that inbolt will be part of this event, showcasing our tightening demo on moving line, and our glue application using the UR5.
Inbolt's mission is to manifest robust real-time decision-making through vision systems for industrial robots, suitable for any environment.
Meet our team of experts to discuss your automation needs or 📆 book a call 📆 with one of our specialists to discuss your project.
We hope to see you there, and look forward to discussing your automation needs in Hall 5, Stand 5118-4.
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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?
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.
