Vertical Pole

Research on "vertical pole" interactions spans diverse applications, focusing on achieving stable control and interaction with vertical structures, whether for robotic manipulation, autonomous vehicle navigation, or aerial perching. Current efforts leverage deep reinforcement learning, particularly for controlling vertical motion and optimizing energy efficiency in robots, alongside advanced algorithms like hybrid federated learning for distributed data processing in applications such as e-health. These advancements improve the robustness and efficiency of systems interacting with vertical elements, impacting fields ranging from robotics and autonomous driving to environmental monitoring and e-commerce personalization.