In this paper, we consider the use of a team of multiple unmanned aerial vehicles (UAVs) to
accomplish a search and rescue (SAR) mission in the minimum time possible while saving …

This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …

In recent years, the rise in both natural and man-made disasters, along with armed conflicts
and terrorist threats, has elevated the demand for Search and Rescue (SAR) missions …

Modelling and animation of crawler UGV's caterpillars is a complicated task, which has not
been completely resolved in ROS/Gazebo simulators. In this paper, we proposed an …

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

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 …

Efficient UAV path-planning algorithms significantly improve inspection efficiency and
reduce costs. However, due to the limitation of battery capacity, the endurance of existing …

A long-standing goal of robotics is to substitute humans in unreachable or dangerous
environments, and one of such environments is urban search and rescue (USAR) domain …

Trajectory planning and obstacle avoidance play essential roles in the cooperative flight of
multiple unmanned aerial vehicles (UAVs). In this paper, a unified framework for onboard …

While rescue robots are becoming more established as part of disaster response, they are
typically teleoperated in actual disasters.(Autonomous) assistance functions can improve …