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  • Korea University, ISR Lab (Intelligent Systems and Robotics Lab)
  • Seoul, South Korea
  • 07:51 (UTC +09:00)

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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)

    C++ 26 1

  2. urban-traversability-dataset urban-traversability-dataset Public

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

    CMake 34

  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 29 4

  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++ 25 3

  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++ 13

  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++ 11 4