AI for Industry
Date: 18 June 2026
Room: CB30A
Chairs: Giovanni Farinella (UniCT), Simone Calderara (UniMore), Paolo Rota (UniTrento)
Description
The AI for Industry workshop focuses on the application of artificial intelligence in advanced manufacturing systems and industrial processes. It addresses technologies enabling new paradigms such as Industry 4.0 and 5.0, with particular emphasis on intelligent automation and human-machine collaboration. Topics include predictive maintenance, process optimization, quality control, and supply chain management.
Detailed Programme
Times show each contribution's presentation slot. An asterisk marks the presenting author when provided in the programme data.
| Time | ID | Contribution |
|---|---|---|
| 14:50-15:00 | #126 | Bridging AI and Industry: Reliable, Sustainable and Explainable Solutions from the PICUS Lab at Federico II University |
| 15:00-15:10 | #74 | AI for industry: applied research by the GRAINS lab at Politecnico di Torino |
| 15:10-15:20 | #1 | AI and Scalable Vector Graphics in Customer Communication Management |
| 15:20-15:30 | #105 | A Formal Framework for Declarative Agentic AI in Business Process Analysis |
| 15:30-15:40 | #30 | Explainable and Real-Time Road Pothole Analysis using Object Detection Models |
| 15:40-15:50 | #38 | SCUDO - Smart Counterfeit Detection via Unique fibrillar Data and Optics |
| 15:50-16:00 | #33 | Segment-wise Anomaly Detection via Compression Tokens in Industrial Production Lines |
| 16:00-16:10 | #2 | Image Enhancement in Interior Design |
| 16:10-16:20 | #44 | Enhancing the Fisheries Supply Chain with Machine Learning |
| 16:20-16:30 | #81 | Digital Twin and Fintech Services for Sustainable Supply Chains – The SmarTwin project |
| 16:30-17:00 | Coffee Break | |
| 17:00-17:10 | #49 | Evaluating Open-Weight VLMs for Automated Fastener Specification Extraction |
| 17:10-17:20 | #138 | Multi-Agent LLM Orchestration for Automated Receipt Product Matching in Retail Loyalty Programs |
| 17:20-17:30 | #122 | Sparse Token-Level Knowledge Distillation for Efficient Intent Recognition in Retail Domain |
| 17:30-17:40 | #124 | xperception - Making Robotic Grasping Easier |