
Areas
4 challenges and 50+ topics
Challenge 1
Optimisation of the production process
Manufacturing process optimization focuses on the use of advanced technologies and process improvements to streamline operations. It aims to increase efficiency, minimize waste and increase productivity by integrating automation, data analytics and real-time monitoring to ensure a smooth and optimized production flow.
Topics include:
- Flexible production
- Rapid prototyping
- AI for autonomous decision making
- Self-adaptive manufacturing processes
- Logistics management support
- Process, planning, monitoring
- Intelligent material handling systems
- Palettising
- Automatic assembly/disassembly


Challenge 2
Human-robot interaction
In a manufacturing environment, human-robot interaction (HRI) focuses on creating efficient, safe collaborations between workers and robots. Effective HRI in manufacturing leads to increased productivity, reduced error rates, and improved worker safety, fostering an environment where humans and robots can coexist and complement each other’s capabilities.
Topics include:
- AI-powered robot control
- Safety and security management
- AI-powered Teaching and programming
- Task sharing and planning
- Localisation
- Force/compliance control
- Intelligent grasping object manipulation
- Natural language processing
- Teaching by demonstration
- Self-configuration
- Self-tuning
Challenge 3
Circular economy
The circular economy in the manufacturing industry focuses on minimizing waste and making the most of resources. This approach involves designing products for longevity, reuse, and recyclability, promoting sustainable production processes. It aims to create a closed-loop system where materials are continuously repurposed, reducing environmental impact and fostering innovation and efficiency.
Topics include:
- Resource consumption
- Disassembly
- Tracing
- Recycling
- Supply chain optimization
- Substitute material
- Bloch chain
- Secondary raw materials management
- Maximise extraction of value
- Reverse logistics
- Remanufacturing


Challenge 4
Other emerging and enabling technologies
Innovative tools and systems that support and enhance manufacturing processes and facilitate smarter production, supply chain efficiency, and product innovation, driving the industry towards more integrated, sustainable, and customized manufacturing solutions.
Topics include:
- Bio-informatics
- Multi-agent systems
- Game theory
- Complex systems
- Machine Learning
- Computer vision
- Formal methods
- HPC
- From edge to cloud
- Benchmarking
- Neural network
- Deep learning
- Reinforced DL
- Diagnostics, change detection