Trajectory Planner

Trajectory planning focuses on generating safe, efficient, and comfortable paths for autonomous systems, such as vehicles and robots, to navigate complex environments. Current research emphasizes integrating advanced prediction models (e.g., deep learning, Gaussian processes) with various planning algorithms (e.g., Model Predictive Control, RRT, sampling-based methods) to handle dynamic obstacles and uncertainties, often incorporating safety guarantees through techniques like control barrier functions. This field is crucial for advancing autonomous systems in diverse applications, from self-driving cars and aerial drones to robotic manipulation, by enabling robust and reliable navigation capabilities.