Autonomous Mobile Robot

Autonomous mobile robots (AMRs) are increasingly sophisticated machines designed to navigate and operate independently in various environments, aiming to achieve tasks efficiently and safely. Current research emphasizes robust navigation in complex, dynamic settings, focusing on methods like deep reinforcement learning (for decision-making and control), Gaussian processes (for uncertainty modeling and failure recovery), and neural networks (for perception, mapping, and path planning). These advancements are crucial for expanding AMR applications in diverse fields, including warehousing, healthcare, agriculture, and exploration, improving efficiency and safety in human-robot collaboration and autonomous operations.