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  • Korea University, ISR Lab (Intelligent Systems and Robotics Lab)
  • Seoul, South Korea
  • 08:28 (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 (IEEE RA-L '24)

    C++ 90 12

  2. FastDEM FastDEM Public

    Ultra-fast dense 2.5D elevation mapping engine for mobile robot navigation — CPU-only with ROS integration support

    C++ 104 12

  3. 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 (IEEE RA-L)'

    CMake 60 1

  4. koide3/small_gicp koide3/small_gicp Public

    Efficient and parallel algorithms for point cloud registration [C++, Python]

    C++ 860 110

  5. awesome-traversability-analysis awesome-traversability-analysis Public

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

    TeX 131 12

  6. dwa_planner dwa_planner Public

    The local planner used in our paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access '22)

    C++ 22 5