MSR_MOGA

MSR_MOGA is a Multi-objective Genetic-Algorithm (MOGA) based path planning approach for modular self-reconfigurable robots (MSRs). The program introduces customized reproduction operators and implemented revised NSGA-II technique to approach the multi-objective path planning problem. The program is developed and simulated under Processing environment.

MOGA Model

Setup

Install and directly run the code under Processing.

Publication

• Multi-Objective Genetic Algorithm-Based Autonomous Path Planning for Hinged-Tetro Reconfigurable Tiling Robot (Link to Paper)

  • To cite the paper through BibTeX:

  @article{ku2020,
    author={P. C. {Ku} and R. E. {Mohan} and N. H. {Khanh Nhan} and A. V. {Le}},
    journal={IEEE Access}, 
    title={Multi-Objective Genetic Algorithm-Based Autonomous Path Planning for Hinged-Tetro Reconfigurable Tiling Robot}, 
    year={2020},
    volume={8},
    pages={121267-121284},}
  

Contact

Feel free to contact me through pku1@jhu.edu if you have any questions.