Robust Model-based Tracking for Automation
Our robust model-based tracking technology enables automation in unconstrained environments.
By unconstrained environments we mean:
- Workpieces with non-repeatable position on fixed workstations
- Moving workpieces on AMRs/AGVs/conveyors.
No need for jigs, indexation, probing, markers or light sensitive 2D vision anymore.
Last news & events about inbolt
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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.
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?
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.