Where Machines
Learn to Move —
Before They Go Live

☑️ Design Verification and Optimization: Plastic and metal models can be used to create prototypes of mechanical components, helping engineers validate the feasibility and precision of the design.

☑️ Motion Simulation and Mechanical Testing: Through models, engineers can simulate the robot’s movements, testing its flexibility, stability, and joint accuracy, which helps optimize the mechanical structure. Models also allow engineers to test the assembly and calibration of each component early on.

☑️ Rapid Prototyping: Models allow engineers to rapidly create prototypes, test designs, and make improvements, thereby shortening the product development cycle and speeding up time-to-market for new products.

✅ Logistics Robots:

• Autonomous Forklifts: Models simulate warehouse transportation and stacking operations, testing the forklift’s navigation system, load capacity, and operational safety to ensure precise performance in automated warehouses.

• Palletizing Robots: Models simulate the handling and stacking of various materials, testing the robot’s gripping, handling trajectory, and stacking stability, ensuring efficient automated operation and improved productivity.

• Handling Robots: Models simulate object gripping, transportation, and placement processes. These models help test load capacity, movement flexibility, and adaptability in different spaces, particularly for high-speed, high-precision handling scenarios.

✅ Manufacturing Robots:

• Screwdriving Robots: Models test the robot’s arm precision, torque control, and collaboration with automated production lines. Models simulate the tightening process of screws with different specifications, ensuring efficient automation and reducing errors and defective rates.

• Welding Robots: Models simulate welding trajectories, control precision, and heat management to ensure welding strength and precision meet requirements. These models help optimize welding paths, reduce errors, and improve welding efficiency.

• Automated Inspection Systems: Models are used to test and simulate inspection processes, particularly in manufacturing. These models ensure the machines can accurately and quickly detect product quality and eliminate defective items.

✅ Machine Vision Systems: Machine vision system models simulate automated production vision inspection processes, such as barcode scanning, defect detection, and precision positioning. These models help optimize camera placement and vision algorithms, improving inspection accuracy.