Understand everything through wireless interconnection! It can be utilized for production line assembly and more.
The "CR3L" is a self-learning collaborative robot that achieves simple design and simple wiring. It can be adapted to various application scenarios such as production line assembly and small loading/unloading. It features various loads, high cost performance, and safe collaboration, along with functions such as flexible deployment, one-handed demonstration, collision detection, and trajectory reproduction. [Features] - Intuitive and easy to understand with graphical programming, allowing for quick learning and use - Real-time dynamic monitoring every 0.01 seconds - Installation completed in 20 minutes, ready for use in 1 hour - Safe and flexible even in limited spaces *For more details, please refer to the PDF document or feel free to contact us.
Inquire About This Product
basic information
【Application Scenarios】 ■ Production line tracking in the 3C industry ■ Dynamic locking ■ Production line assembly ■ Small loading/unloading *For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
【Applicable Industries】 ■Food Chemistry ■Furniture and Home Appliances ■Metal Processing ■Automotive Parts ■3C Automation *For more details, please refer to the PDF document or feel free to contact us.
catalog（1）
Download All Catalogs
Company information
GRIPS Corporation is focused on two main areas: technology for industry and education for the next generation of talent. For industry, we propose systems that do not rely on specific manufacturers, utilizing technologies such as robotic arms and single-board computers, allowing customers to develop and improve their own systems. For education, we conduct advanced technical training sessions for engineers and develop STE(A)M educational materials for elementary and middle school students. We aim to secure educational opportunities and provide high-quality materials for a wide range of generations, from those currently "working" in the field to those who will "work" in the future.