Challenges
4 challenges and 50+ topics
Challenge 1
Factory-level optimization
Factory-level optimization in manufacturing focuses on using advanced technologies and process improvements to streamline operations. The goal is to improve efficiency, minimize waste and increase productivity by integrating automation, data analytics and real-time monitoring to create a seamless and optimized production workflow.
Topics include:
- Flexible production
- Prototypes
- AI for autonomous decision-making
- Self-adaptive manufacturing processes
- Logistics management support
- Process, planning, monitoring
- Intelligent material handling systems
- Palettising
- Automatic (de)assembly
Challenge 2
Human-Robot Interaction
In a manufacturing environment, human-robot interaction (HRI) focuses on creating efficient, safe collaboration between workers and robots. Effective HRI in manufacturing leads to higher productivity, fewer errors and increased worker safety, creating 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
- Learning by demonstration
- Self-configuration
- Self-tuning
Challenge 3
Circular economy
Circular economics in the manufacturing industry focuses on minimizing waste and making the best use of resources. This involves designing products with longevity, reuse and recyclability in mind, promoting sustainable production processes. The goal is to create a closed loop system in which materials are continually reused, reducing environmental impact, and encouraging innovation and efficiency.
Topics include:
- Resource consumption
- Disassembly
- Tracing
- Recycling
- Supply chain optimization
- Substitute material
- Block chain
- Secondary raw materials management
- Maximum value extraction
- Reverse logistic
- Remanufacturing
Challenge 4
Other emerging 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 Method
- HPC
- Edge-to-Cloud
- Benchmarking
- Neural networks
- Deep Learning
- Reinforced DL
- Diagnostics, change detection
