Initial Trajectory

Initial trajectory generation focuses on creating the first feasible path for robots navigating complex environments, aiming for efficiency, safety, and robustness. Current research emphasizes methods that adapt to dynamic obstacles (like crowds) and uncertain environments, employing techniques like dynamic window approaches, goal-adaptive frameworks, and optimization-based trajectory refinement. These advancements improve robot navigation performance in challenging scenarios, impacting fields such as autonomous driving, robotics, and aerial vehicle control by enabling more reliable and efficient path planning.