Multiple Mobile Manipulator

Multiple mobile manipulator systems aim to leverage the combined dexterity of robotic arms and the mobility of robotic bases for complex tasks, focusing on efficient collaboration and robust control in dynamic environments. Current research emphasizes developing advanced motion planning algorithms, often incorporating reinforcement learning, dynamic movement primitives, or hierarchical approaches, to address challenges like collision avoidance, kinodynamic constraints, and communication delays. These advancements are significant for improving the efficiency and reliability of robotic systems in applications such as construction, object manipulation, and transportation, particularly in cluttered or unstructured settings.