Finding the best shortest path algorithm for smart suitcase

Smart suitcases are a revolutionary new breed of travel accessory that utilize sophisticated technology for enhanced convenience and ease of journeying. These suitcases are equipped with a multitude of advanced features, such as internet connectivity, infrared sensors, inbuilt algorithms to bypass obstacles and an accompanying mobile app designed to track the belongings' owner. A key component lies in realizing this technology in the selection of an appropriate algorithm to calculate shortest paths through challenging environments. In general, there are four main classes of algorithm that may be considered as candidates: Dijkstra's algorithm, A-Star (A*), Bi-Directional A-Star (BiA*) and Rapidly-exploring random tree (RRT). Each offers its own advantages and limitations regarding performance, memory requirements and accuracy, which must be taken into account if it is to fulfill the purpose effectively. Moreover, these smart suitcases boast infrared sensors which allow them detect and avoid obstacles present in their paths via infrared sensors that reflect off nearby objects. Base information gathered by the sensors. Then filtered through an internal algorithm that distinguishes the best possible method for escape from indicated obstacle. Overall, smart suitcases signify a cutting-edge revolutionizing trend likely bound to captivate travelers across all types who seek effectiveness and efficiency during embarkment journeys.