Bidirectional Search

Bidirectional search algorithms explore a problem space from both the starting point and the goal simultaneously, aiming to find a solution more efficiently than unidirectional approaches. Current research focuses on improving the efficiency and effectiveness of bidirectional search through techniques like adaptive heuristics (e.g., in path planning) and tightly coupled learning strategies (e.g., in visual place recognition), often incorporating hierarchical architectures or goal-constrained formulations. These advancements are impacting diverse fields, enhancing the performance of applications ranging from automated chemical synthesis planning to the control of soft robots and improving the speed and accuracy of visual place recognition in robotics.