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  • Korea University, Intelligent Systems & Robotics Lab
  • Seoul, South Korea

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  1. LeSTA LeSTA Public

    Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L 2024 & ICRA@40)

    C++ 12

  2. urban-terrain-dataset urban-terrain-dataset Public

    The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'

    CMake 25

  3. awesome-traversability-analysis awesome-traversability-analysis Public

    😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation

    TeX 9

  4. height_mapping height_mapping Public

    Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots

    C++ 15 2

  5. dijkstra_planner dijkstra_planner Public

    The global planner used in the paper 'ODS-Bot: Mobile robot navigation for outdoor delivery services' (IEEE Access, 2022)

    C++ 9

  6. dwa_planner dwa_planner Public

    The local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)

    C++ 8 3