Heterogeneous Vehicle

Heterogeneous vehicle systems, encompassing diverse robotic platforms like aerial, ground, and underwater vehicles, are a focus of current research aiming to optimize their coordinated operation for complex tasks. Key research areas involve developing efficient path planning algorithms, such as Fast Marching Methods, and robust control strategies that account for communication limitations and heterogeneous dynamics, often employing multi-agent reinforcement learning or differential-algebraic equation frameworks. These advancements are crucial for improving the efficiency and safety of applications ranging from warehouse logistics and search-and-rescue operations to autonomous driving in mixed-traffic environments.