Trajectory Modulation

Trajectory modulation focuses on optimizing the path and speed profiles of moving objects, from robotic arms to autonomous vehicles, to improve efficiency, safety, and user experience. Current research emphasizes developing efficient algorithms, such as those based on optimization and reinforcement learning, to generate and refine trajectories, often incorporating real-time feedback and constraints like collision avoidance. These advancements are crucial for enabling safe and effective operation of robots in complex environments and improving the accuracy and scalability of automated systems in various applications, including industrial automation and transportation.