Friction Coefficient

Friction coefficient, a measure of the resistance to motion between surfaces, is crucial for various applications, from robotics to vehicle safety. Current research focuses on accurate real-time estimation of friction coefficients, employing methods such as model predictive control in robotics and machine learning algorithms (e.g., neural networks) for vehicle dynamics and braking systems. These advancements aim to improve the robustness and efficiency of control systems in diverse fields by providing reliable, uncertainty-aware estimates of friction, leading to safer and more effective operations.

Papers