Skip to content
View Ikhyeon-Cho's full-sized avatar
  • Korea University, Intelligent Systems & Robotics Lab
  • Seoul, South Korea

Highlights

  • Pro
Block or Report

Block or report Ikhyeon-Cho

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  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++ 13

  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 26

  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 12

  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++ 16 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