Experimental validation of heterogeneous robot planning

My research on UAV-UGV cooperative systems for vehicle routing problem (VRP) involves developing and testing algorithms and models for the optimal routing of a team of Unmanned aerial vehicles (UAVs) and Unmanned ground vehicles (UGVs) for tasks such as surveillance, reconnaissance, and search and rescue operations. The objective is to find the most efficient and effective route for the team to complete their task while taking into account various constraints and objectives such as minimizing travel time, maximizing information gathering, and ensuring safe and reliable communication between the vehicles. This research is important because it has the potential to greatly improve the efficiency and effectiveness of tasks that require the use of UAVs and UGVs. By optimizing the routing of the vehicles, the overall performance of the cooperative system can be enhanced, leading to more accurate and reliable data collection, faster response times, and increased safety for both the vehicles and the operators. My submitted video shows a successful validation of a developed framework for UAV-UGV cooperation where a UAV visits a set of mission points by getting recharged from a moving UGV in a small lab scale setup.​