Collision Scenario

Collision scenario research focuses on predicting, preventing, and mitigating collisions across diverse domains, from autonomous vehicles and robotics to aerospace and manufacturing. Current efforts utilize various machine learning models, including neural networks (e.g., residual networks, graph neural networks), and optimization algorithms (e.g., model predictive control, scenario optimization) to improve collision detection, avoidance, and even the assessment of collision severity. This research is crucial for enhancing safety and efficiency in numerous applications, from improving autonomous systems to optimizing industrial processes and ensuring safe human-robot interaction.