RoboticPlus.AI's self-developed industrial software, RoBIM, has been successfully selected as one of the entries in the "2023 Shanghai Industrial Software Recommended Catalog" after a rigorous validation process.

The inclusion of RoBIM in the "2023 Shanghai Industrial Software Recommended Catalog" underscores its status as a flexible control software for industrial robots, leveraging CAD-CAPP-CAM data flow. This selection recognizes RoBIM's autonomy, technological sophistication, and industrial deployment and application capabilities.

CAPP (Computer-Aided Process Planning) serves as a crucial link between product design and manufacturing, enabling automation and intelligent production in the manufacturing industry. This technology significantly enhances production efficiency, reduces costs, and optimizes product quality, yielding greater economic benefits for enterprises, particularly in the context of China's new industrialization.

Traditional manual process planning is often time-consuming, labor-intensive, and error-prone. Relying heavily on manual experience and skills makes ensuring process consistency challenging. CAPP facilitates automatic process planning, real-time adjustment, and optimization based on product design information. It enables seamless data connection with CAD, CAM, and other systems, streamlining the entire process from product design to manufacturing, thereby enhancing efficiency and accuracy.

RoBIM is built on the core principles of CAPP technology, enabling flexible production through feature model and process adaptive drive robot, bringing innovative production methods to the manufacturing industry and promoting the industry's digital transformation.

Core Advantages

1. Linkage Design & Manufacturing

   Enhance data sharing, process optimization, and collaboration to prevent transmission issues affecting production quality.

   
   

2. Data-driven AI

   Automatically parses drawing data, extracts key machining features, and optimizes process parameters for precise planning.

   
   

3. Automated Process Libraries

   Offer accurate process decisions for cutting, welding, grinding, painting, etc., continually updating accumulated data.

   
   

4. Digital Twin

   Provides a virtual simulation environment for robots to autonomously plan optimal paths and machining strategies, ensuring safety and cost reduction.

   
   

5. Multi-Sensor

   Fusion Enhances robot perception, decision-making, and environment adaptation for stable, continuous, and flexible production.