Smooth Trajectory

Smooth trajectory generation focuses on creating continuous, predictable paths for various applications, from autonomous vehicle navigation to robotic motion planning and data interpolation. Current research emphasizes integrating diverse data sources (e.g., images, events) and employing advanced architectures like transformers and neural ordinary differential equations to improve trajectory smoothness and robustness, often incorporating probabilistic graphical models for safety and constraint satisfaction. These advancements are crucial for enhancing the reliability and efficiency of autonomous systems and improving the accuracy of data analysis in diverse fields.