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[IROS 2024] Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach for Informed Sampling-Based Planner

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The Open Motion Planning Library (OMPL)

Linux / macOS Build Status Windows Build status

Visit the OMPL installation page for the detailed installation instructions.

OMPL has the following required dependencies:

  • Boost (version 1.58 or higher)
  • CMake (version 3.5 or higher)
  • Eigen (version 3.3 or higher)

The following dependencies are optional:

Once dependencies are installed, you can build OMPL on Linux, macOS, and MS Windows. Go to the top-level directory of OMPL and type the following commands:

mkdir -p build/Release
cd build/Release
cmake ../..
# next step is optional
make -j 4 update_bindings # if you want Python bindings
make -j 4 # replace "4" with the number of cores on your machine

If you found this research useful for your own work, please use the following citation of our IROS paper:

@INPROCEEDINGS{fit_2024,
  author={Zhang, Liding and Bing, Zhenshan and Chen, Kejia and Chen, Lingyun and Cai, Kuanqi and Zhang, Yu and Wu, Fan and Krumbholz, Peter and Yuan, Zhilin and Haddadin, Sami and Knoll, Alois},
  booktitle={2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
  title={Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach in Informed Sampling-Based Path Planning}, 
  year={2024},
  volume={},
  number={},
  pages={3146-3152},
  doi={10.1109/IROS58592.2024.10802466}}

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