Load Safety

Load safety research focuses on ensuring systems and processes reliably operate within safe limits, minimizing risks and maximizing efficiency. Current efforts leverage artificial intelligence, particularly deep reinforcement learning (DRL) algorithms like Proximal Policy Optimization (PPO), often combined with control barrier functions (CBFs) to guarantee safe operation, even during learning. This is applied to diverse areas, including network load balancing and physical load assessment using image recognition with convolutional neural networks (CNNs), aiming to improve safety compliance, reduce accidents, and minimize associated costs.