This paper surveys the state-of-the-art optimization approaches in the civil application of
drone operations (DO) and drone-truck combined operations (DTCO) including construction …

Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …

We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize …

Over the past few years, Unmanned Aerial Vehicles (UAVs) have become more and more
popular. The complexity of routing UAVs has not been fully investigated in the literature. In …

Ocean monitoring is an expensive and time consuming endeavor, but it can be made more
efficient through the use of teams of autonomous robots. In this paper, we present a system …

This paper investigates some cooperative Unmanned Aerial Vehicles (UAVs) executing both
visiting tasks and transportation tasks. The UAVs are subject to random shocks which may …

Robotic science missions in remote environments, such as deep ocean and outer space,
can involve studying phenomena that cannot directly be observed using on-board sensors …

Data collection missions are one of the many effective use cases of unmanned aerial
vehicles (UAVs), where the UAV is required to visit a predefined set of target locations to …

Classifying objects in complex unknown environments is a challenging problem in robotics
and is fundamental in many applications. Modern sensors and sophisticated perception …

Efficient dispatching for on-demand ride services is essential to the ride-sourcing platform,
passengers, and drivers in a competitive ride-sourcing market. The existing first-come-first …