Co-Founder and Director of AI at Photoneo, Slovakia
Michal Maly received his PhD in the field of Computer Science, Artificial Intelligence, at FMFI UK in 2013. He is an expert in the construction of rational agents based on reinforcement learning. He also worked in the area of computer security and published an innovative solution for secure distributed computing. His vision is to improve computer understanding of the 3D environment and enhance comprehension of real-world objects.
Session: AI-powered robotic unloading of pallets laden with boxes using artificial intelligence
Material handling: Depalletization powered by AI
This presentation will cover a specific warehouse automation system based on powerful 3D vision and advanced AI algorithms – a so-called smart depalletization. The term describes robotic unloading of pallets laden with boxes using artificial intelligence. The process starts with a 3D scanner making a scan, which is then processed by AI algorithms trained on thousands of different types of boxes. Besides advantages related to increased productivity and cost savings, there is another important aspect – safety.
Learning outcomes:
- The difference between AI-powered depalletization on the one hand and classic depalletization and delayerization on the other
- The secret behind a successful AI-powered depalletization solution
- Concrete benefits in numbers of implementing an AI-powered depalletization solution
- How to implement an AI-powered depalletization solution and what skills or knowledge are necessary for successful integration
Additional information and International Conference on Supply Chain Management & Fulfillment Solutions programme – here
