Idealworks’ iw.hub is an autonomous mobile robot designed to transport heavy loads efficiently within industrial and logistics environments. To remain competitive and adaptable, idealworks continuously improves the iw.hub’s functionality. However, traditional development methods heavily relied on physical hardware, slowing down innovation and increasing costs. Idealworks needed a solution to streamline development while ensuring the safety and reliability of new features.
Idealworks faced the challenge of accelerating product development without over-relying on costly and time-consuming physical hardware testing. Introducing and validating new features safely required an efficient method to test software updates without risking employee safety or disrupting ongoing operations. Balancing rapid development, cost control, and safety posed a significant hurdle.
Inmind.ai developed a cutting-edge simulation platform that emulates iw.hub’s hardware and integrates directly with its robotics software. This virtual testing environment allows developers to experiment with and validate new features without needing physical prototypes. It also enables quality assurance teams to assess cloud-based solutions and make safe software adjustments, reducing operational risks and improving overall development efficiency.
The simulation platform significantly accelerated the development timeline for the iw.hub, reducing costs and enhancing workplace safety. Developers can now test and refine features more efficiently, resulting in faster product improvements and innovation cycles. This approach minimizes downtime, optimizes resources, and fosters a safer, more productive environment for idealworks’ operations.