A Flying robot is a system capable of vertical take-off and landing to perform some specific task with no direct human intervention. Flying robots are distinct from other robots by their ability to fly with no direct human control and are capable of making a decision based on the situation. Drones, Aerial robots, Unmanned Aerial Vehicles (UAV) are few examples of flying robots. Path determination of flying robots is one of the most critical aspects of robot Routing design. Path planning is a technique which tells flying robot how to fly, where to fly and to find a collision-free optimal path. Numerous techniques have been put forward over the past few years to find an optimal path for flying robots. This work discusses on new trends led by artificial intelligence and safe human-robot interaction for optimal path planning of aerial robots. Furthermore, a comprehensive study is carried out on various 2D and 3D path planning algorithms done to date and different algorithms are classified based on important criteria for optimal path planning for flying robots.
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