Enabling multiple robots to collaboratively per-form coverage path planning on complex
surfaces embedded in R^3 in the presence of moving obstacles is a challenging problem …

Coordination of mobile robot teams has attracted significant attention in the area of robotics
research. As one of the most important techniques used in the multi-robot systems, coverage …

For massive large-scale tasks, a multi-robot system (MRS) can effectively improve efficiency
by utilizing each robot's different capabilities, mobility, and functionality. In this letter, we …

In the tasks of multi-robot collaborative area search, we propose the unified approach for
simultaneous mapping for sensing more targets (exploration) while searching and locating …

Coverage path planning in a generic known environment is shown to be NP-hard. When the
environment is unknown, it becomes more challenging as the robot is required to rely on its …

The multi-robot coverage path planning (CPP) is the design of optimal motion sequence of
robots, which can make robots execute the task covering all positions of the work area …

Featured Application CONCERTS is aimed at Search and Rescue and related applications
in urban and indoor environments where mission completion time is critical. Abstract This …

In large unknown environments, search operations can be much more time-efficient with the
use of multi-robot fleets by parallelizing efforts. This means robots must efficiently perform …

Autonomous area covering robots are being increasingly deployed in residential and
commercial settings for a variety of purposes. These robots usually employ universal area …

Sensor coverage is the critical multi-robot problem of maximizing the detection of events in
an environment through the deployment of multiple robots. Large multi-robot systems are …