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manipulator's Introduction

This is a dynamic smoothed-RRT planner for Lynx robot(6-DoF manipulator).

  • Main functions:

    • Simulation function: runsim.m
    • Generative function for static planning(main function): SRRT.m
    • Generative function for dynamic planning: regrow.m
  • Other functions:

    • Sample function: sample.m
    • Pick random node in space: RandomNode.m
    • Neighbor finding function: neighbor.m
    • Node extending function: extend.m
    • Collision detection function: DetCol.m
    • Path optimization function: path_opt.m
  • Utils: Those are helper functions either from p-code or m-code that I implemented in the former labs

To evaluate the smoothness of the planner, we simulated in different static maps:

  • static simulation results:

    • comparison between random sample and epsilon-greedy sample:

    • comparison between raw and pruned path:

To evaluate the dynamic performance of the planner, due to the fact that visualizing 3d moving obstacle in matlab is quite tricky, we implement it onto a planner dot robot navigating in changing environment and get the following result:

  • scenario 1: randomly moving door:

  • scenario 2: tricky maze:

manipulator's People

Contributors

shumin326 avatar

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