Adaptively Informed Trees (AIT*) is an algorithm that uses the problem-specific heuristic to
avoid unnecessary searches, which significantly improves its performance, especially when …

Path planning algorithms can solve the problem of finding paths through continuous spaces.
This problem appears in a wide range of applications, from navigating autonomous robots to …

Although symbolic bidirectional search is successful in optimal classical planning, state-of-
the-art satisficing planners do not use bidirectional search. Previous bidirectional search …

Path search is designed to find a path by traversing the state spaces from the initial state to
the target state. Given enough memory and run time, the A* algorithm can find an optimal …

Robot path planning in high-dimensional continuous space is of great significance in
robotics. The conventional bidirectional fast marching method utilizes brute-force search to …

Heuristic search is a successful approach to cost-optimal planning. Bidirectional heuristic
search algorithms have been around for a long time, but only recent advances have led to …

This paper presents a new bidirectional search algorithm to solve the shortest path problem.
The new algorithm uses an iterative deepening technique with a consistent heuristic to …

Bidirectional Search dan Held-Karp merupakan salah satu metode pencarian jalur terdekat
atau sering disebut dengan metode shortes path. Bidirectional Search mencari jalur terdekat …

Recent work on bidirectional search defined a lower bound on costs of paths between pairs
of nodes, and introduced a new algorithm, NBS, which is based on this bound. Building on …

To transmit information or transfer an object, two agents may need to reach the same
location and meet. Often, such two agents operate in two separate environments and they …