RoboDK’s Digital Twin Toollets Cut Automation Trial Costs

Manufacturers can test robotic workflows without physical hardware

RoboDK’s digital twin software enables factories to model robotic cells—including robots, end effectors, fixtures, and sensors—before spending on physical automation. This testing identifies collision risks, idle time, and operator access issues that would otherwise require costly physical trials. By simulating robotic workflows across 1,400+ robot brands, manufacturers avoid expensive trial-and-error while reducing vendor lock-in risks. The tool helps estimate cycle times and throughput constraints for applications from pick-and-place to machining. This approach lowers the financial barrier to testing automation concepts, potentially making robotic production more accessible. However, enterprise digital twin platforms may still be costly for first-time automation buyers, and the source describes this as a 2026 publication. The material does not quantify price impacts or implementation scale.

Source: The Robot Report