AM-RRT*: Informed Sampling-based Planning with Assisting Metric

@article{Armstrong2021AMRRTIS,
  title={AM-RRT*: Informed Sampling-based Planning with Assisting Metric},
  author={Daniel W. Armstrong and Andr'e Jonasson},
  journal={2021 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2021},
  pages={10093-10099}
}
  • D. Armstrong, Andr'e Jonasson
  • Published 28 October 2020
  • Computer Science
  • 2021 IEEE International Conference on Robotics and Automation (ICRA)
In this paper, we present a new algorithm that extends RRT* and RT-RRT* for online path planning in complex, dynamic environments. Sampling-based approaches often perform poorly in environments with narrow passages, a feature common to many indoor applications of mobile robots as well as computer games. Our method extends RRT-based sampling methods to enable the use of an assisting distance metric to improve performance in environments with obstacles. This assisting metric, which can be any… 

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