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Modification

Implemented an inflated occupancy grid's radius to extend the state checking capability in path planning. Implemented dynamics occupancy grid to update the new occupancy grid in the dynamics environment.


C++ implementation and visualization of some sampling-based path planners

Build & Run

Build

  1. git clone git@github.com:ZJU-FAST-Lab/sampling-based-path-finding.git
  2. cd sampling-based-path-finding/
  3. catkin_make

Run

In two seperate terminals, source first, then:

  1. roslaunch path_finder rviz.launch
  2. roslaunch path_finder test_planners.launch

In Rviz panel, add a new tool "Goal3DTool", press keyboard "g" and use mouse to set goals.

RRT

LaValle, S.M. (1998). Rapidly-exploring random trees : a new tool for path planning. The annual research report.

RRT*

Original

Karaman, Sertac, and Emilio Frazzoli. “Sampling-Based Algorithms for Optimal Motion Planning.” The International Journal of Robotics Research, vol. 30, no. 7, June 2011, pp. 846–894, doi:10.1177/0278364911406761.

RRT* with informed sampling

J. D. Gammell, T. D. Barfoot and S. S. Srinivasa, "Informed Sampling for Asymptotically Optimal Path Planning," in IEEE Transactions on Robotics, vol. 34, no. 4, pp. 966-984, Aug. 2018, doi: 10.1109/TRO.2018.2830331.

RRT* with GUILD sampling

Aditya Mandalika and Rosario Scalise and Brian Hou and Sanjiban Choudhury and Siddhartha S. Srinivasa, Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning," in Arxiv, 2021, https://arxiv.org/abs/2104.05037

RRT#

Original

O. Arslan and P. Tsiotras, "Use of relaxation methods in sampling-based algorithms for optimal motion planning," 2013 IEEE International Conference on Robotics and Automation, 2013, pp. 2421-2428, doi: 10.1109/ICRA.2013.6630906.

RRT# with informed sampling

RRT# with GUILD sampling

Bidirectional RRT

RRT-connect (BRRT)

Kuffner, James J., and Steven M. LaValle. "RRT-connect: An efficient approach to single-query path planning." Proceedings 2000 ICRA.

IB-RRT*

Qureshi, Ahmed Hussain, and Yasar Ayaz. "Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments." Robotics and Autonomous Systems 68 (2015): 1-11.

IB-RRT* with informed sampling

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Sampling-Based 3D Planner With Occupancy Grid Map

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  • C++ 74.2%
  • Python 13.6%
  • C 8.3%
  • CMake 3.9%