The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Simultaneous localization and map** responds to the problem of building a map of the
environment without any prior information and based on the data obtained from one or more …

Recent advances in trajectory replanning have enabled quadrotor to navigate autonomously
in unknown environments. However, high-speed navigation still remains a significant …

Autonomous exploration is a fundamental problem for various applications of unmanned
aerial vehicles (UAVs). Existing methods, however, were demonstrated to insufficient …

Robotic technologies, whether they are remotely operated vehicles, autonomous agents,
assistive devices, or novel control interfaces, offer many promising capabilities for …

The ability to plan informative paths online is essential to robot autonomy. In particular,
sampling-based approaches are often used as they are capable of using arbitrary …

Uncrewed aerial vehicles (UAVs) rely heavily on visual sensors to perceive obstacles and
explore environments. Current UAVs are limited in both perception capability and task …

Extending the maneuverability of multirotors promises to yield a considerable increase in
their scope of applications, such as carrying out more challenging inspection tasks and …

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 …

Precise trajectory tracking is a crucial property for Micro Air Vehicles (MAVs) to operate in
cluttered environment or under disturbances. In this paper we present a detailed comparison …