The proposed system is a new semi-autonomous hybrid system of UGVs and UAVs that could ultimately prove to be improvements over search and rescue missions in challenging environments. One important payback is realized that the benefits between both systems are synergistic: UAVs serve for aerial reconnaissance by gaining their bird's eye view and carry out a physical involvement with the object by using the terrestrial functionalities of UGV's. A number of autonomous operations such as obstacle avoidance and identification of the target, and the planning of the path will be considered with implementing them into an incredibly sophisticated and complex machine learning algorithm. Moreover, the architecture must include a reliable and robust communication network, which allows for real-time transfer of indispensable data directly from the vehicle to the ground control station. The hybrid system runs a wide range of simulations to evaluate and test its efficiency and effectiveness in various scenarios, from not only complex topographies but also difficult meteorological conditions that may have an impact on its performance. The results of such simulations are totally understood by the operations team that will lead to improvements in efficiencies, in developed safety measures, and operational coverage made considerably easier for all relevant stakeholders.