Autonomous Mobility

Autonomous mobility research focuses on developing intelligent systems for self-driving vehicles, drones, and robotic systems to navigate and operate efficiently in complex environments. Current research heavily utilizes multi-agent reinforcement learning (MARL), often employing graph neural networks or other deep learning architectures, to coordinate fleets of autonomous agents and optimize resource allocation for tasks like ride-sharing and delivery. This field is significant due to its potential to revolutionize transportation, logistics, and healthcare delivery by improving efficiency, safety, and accessibility, particularly in urban settings and underserved areas.