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 …

Recent advances in technology lead to the use of robotic systems as part of the modern
working environment. Single and multiple robotic systems work closely with humans to …

The energy limitation of robotic networks has hindered search and rescue missions. In this
paper, we propose a mission planning method that overcomes the energy limitation by …

The cooperation of multiple unmanned aerial vehicles (Multi-UAV) can effectively solve the
area coverage problem. However, developing an online multi-UAV coverage approach …

Task allocation is crucial for autonomous underwater vehicle (AUV) collaboration in multi-
AUV maritime search and rescue missions. In real projects, there are possible target areas …

The deployment and coordination of mobile sensor networks for coverage control
applications can present several practical challenges, including how to efficiently share …

The success of numerous long-term robotic explorations in the air, on the ground, and under
the water is dependent on the ability of robots to operate for an extended time. The long-term …

The multi-robot coverage motion planning (MCMP) problem in which every reachable area
must be covered is common in multi-robot systems. To deal with the MCMP problem, we …

The ability to develop a high-level understanding of a scene, such as perceiving danger
levels, can prove valuable in planning multi-robot search and rescue (SaR) missions. In this …

This paper addresses a density-aware multi-agent exploration problem based on an Optimal
Transport (OT) theory while considering energy constraints of a multi-agent system. The …