With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Load transportation by quadrotors and similar aircrafts is a topic of great interest to the
robotics community nowadays, most likely due to logistic gains for deliveries of commercial …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

Quadrotors are among the most agile flying robots. However, planning time-optimal
trajectories at the actuation limit through multiple waypoints remains an open problem. This …

From quadrotors delivering packages in urban areas to robot arms moving in confined
warehouses, motion planning around obstacles is a core challenge in modern robotics …

Finding feasible, collision-free paths for multiagent systems can be challenging, particularly
in non-communicating scenarios where each agent's intent (eg goal) is unobservable to the …

We describe a method for multirobot trajectory planning in known, obstacle-rich
environments. We demonstrate our approach on a quadrotor swarm navigating in a …

Model predictive control (MPC) is an effective method for controlling robotic systems,
particularly autonomous aerial vehicles such as quadcopters. However, application of MPC …

We present a distributed model predictive control (DMPC) algorithm to generate trajectories
in real-time for multiple robots. We adopted the on-demand collision avoidance method …

Convex optimization is a class of mathematical programming problems with polynomial
complexity for which state-of-the-art, highly efficient numerical algorithms with …