Four industry-scale use cases evaluating adaptation technologies across diverse domains (NTNU lead)
Evaluate adaptation technologies under system and environmental changes in different domains through four industrial case studies. Supports all project objectives.
Lead: NTNU · Effort: 190 person-months · Duration: M1–M36
T4.1: Robot Disassembling Case (M1–M36) — Led by DTI, focusing on laptop remanufacturing with human-robot collaboration for disassembly tasks.
T4.2: Robot Navigation Case (M1–M36) — Led by PAL, deploying a fleet of TIAGo robots for shop floor navigation in dynamic environments.
T4.3: Ship Motion Prediction Case (M1–M36) — Led by NTNU, using the Gunnerus research vessel for ship motion prediction with transfer learning techniques.
T4.4: Dynamic Risk Model in Industry 4.0 (M1–M36) — Led by Fraunhofer, addressing collaborative assembly scenarios with dynamic risk modelling for human safety.
Case study reports, evaluation results, demonstrator prototypes, and best-practice guidelines.
AU, UA, AUTH, NTNU (lead), DTI, PAL, Fraunhofer, SRL, UoY