Collision Detection

Collision detection, crucial for robotics, computer graphics, and other fields, aims to efficiently determine whether objects intersect in space. Current research emphasizes speed and accuracy improvements, focusing on methods like signed distance fields (SDFs), ray tracing (especially GPU-accelerated), and machine learning approaches such as graph neural networks (GNNs) and convolutional neural networks (CNNs) to approximate collision detection functions. These advancements enable real-time collision avoidance in robotics, faster simulations, and improved safety in applications ranging from autonomous navigation to collaborative robots.