Continuously informed heuristic A∗-optimal path retrieval inside an unknown environment

@article{Kapoutsis2017ContinuouslyIH,
  title={Continuously informed heuristic A∗-optimal path retrieval inside an unknown environment},
  author={Athanasios Ch. Kapoutsis and Christina M. Malliou and Savvas A. Chatzichristofis and Elias B. Kosmatopoulos},
  journal={2017 IEEE International Symposium on Safety, Security and Rescue Robotics (SSRR)},
  year={2017},
  pages={216-222}
}
This paper deals with the problem of retrieving the optimal path between two points inside an unknown environment, utilizing a robot-scouter. The vast majority of the path planning frameworks for an unknown environment focuses on the problem of navigating a robot, as soon as possible, towards a pre-specified location. As a result, the final followed path between the start and end location is not necessarily the optimal one, as the objective of the robot at each timestamp is to minimize its… CONTINUE READING