1. Industry 6.0: AI–Driven Manufacturing
- Autonomous product design from natural language input, eliminating the need for manual CAD modeling
- End-to-end production pipeline where AI coordinates design, fabrication, logistics, and assembly
2. Simulation & Transfer Learning
- Virtual factory environments used to train robotic tasks safely and quickly before real-world testing
- Knowledge gained in simulation transferred to a physical Yaskawa collaborative robot for execution
3. Safety & Human Collaboration
- AI-enabled monitoring systems that detect human proximity and halts robots to prevent accidents
- Advance Computer vision algorithms and force sensing work together to ensure a safe and shared workspace
4. Precision & Scalable automation
- Peg-in-hole insertion is a benchmark for robotic precision, and success here enables applications in electronics, automotive, medical devices, and everyday automation.
- Scalable automation allows the same methods to be applied across industries, from microelectronics to large mechanical systems.
5. Real-Time Visual Inspection with AI and Computer Vision
- AI-driven defect detection for assembly lines, delivering higher accuracy and less waste than traditional camera systems
- Use of CNNs and advanced machine learning algorithms to detect subtle defects across diverse manufacturing processes.