Eureka SMART Dynamic SALSA
| Reference number | |
| Coordinator | Kungliga Tekniska Högskolan - Kungliga Tekniska Högskolan Inst för produktionsutveckling |
| Funding from Vinnova | SEK 4 100 000 |
| Project duration | April 2023 - March 2026 |
| Status | Completed |
| Venture | Eureka Cluster within Sustainable Value Chains |
Important results from the project
The project met its goals by developing and openly sharing AI-based models and establishing a laboratory testbed at the Production Logistics lab at KTH. It demonstrated improved monitoring accuracy and dynamic scheduling in order picking using vision systems and machine learning. Additional results include validated feasibility in an industrial use case and strengthened Swedish - South Korean collaboration for continued research and implementation.
Expected long term effects
In the long term, the project is expected to drive structural changes in industry, technology, and research. It enables seamless, ethical data use and AI-supported logistics improving performance, flexibility, and working conditions at Swedish manufacturing industry. It also supports solution provider´s shift to integrated AI services and establishes an international testbed for continuous research, education, and responsible AI adoption in academia.
Approach and implementation
The project followed a structured process development approach with conceptual, design, and implementation phases. It combined continuous collaboration between academic and industrial partners. KTH led technology development and testbed implementation, Scania provided data and validated results, and SiB supported vision systems. They also collaborated continuously with its South Korean academic and industrial partners. All contributed jointly to internal and external dissemination of results.