Ikhyeon-Cho

Robotics & Mechanical Engineering Ph.D. Student at Korea Univ.

Korea University, Intelligent Systems & Robotics LabSeoul, South Korea

Pinned Repositories

awesome-traversability-analysis
😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
Language:TeX90
dijkstra_planner
The global planner used in the paper 'ODS-Bot: Mobile robot navigation for outdoor delivery services' (IEEE Access, 2022)
Language:C++9 1 00
dwa_planner
The local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)
Language:C++8 1 03
fake_simulation_ros
A simple RViz simulation package providing 2D laser scan and occupancy map. For testing navigation planning algorithms
Language:C++30
height_mapping
Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
Language:C++162
isr_robot_ros
ROS driver implementation of ISR M-series mobile robots, used in Intelligent Systems & Robotics Lab (ISR).
Language:C++41
LeSTA
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L 2024 & ICRA@40)
Language:C++12 2 30
map_server
Language:C++4 1 00
ODS-Bot
ODS-Bot: Mobile robot navigation for outdoor delivery services (IEEE Access, 2022)
4 1 00
urban-terrain-dataset
The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
Language:CMake25 1 10

Ikhyeon-Cho's Repositories

Ikhyeon-Cho/urban-terrain-dataset
The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
Language:CMake25 1 10
Ikhyeon-Cho/height_mapping
Range sensor-based 2.5D gridded height mapping (Digital Elevation Model) for urban terrain navigation of mobile robots
Language:C++162
Ikhyeon-Cho/LeSTA
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L 2024 & ICRA@40)
Language:C++12 2 30
Ikhyeon-Cho/awesome-traversability-analysis
😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
Language:TeX90
Ikhyeon-Cho/dijkstra_planner
The global planner used in the paper 'ODS-Bot: Mobile robot navigation for outdoor delivery services' (IEEE Access, 2022)
Language:C++9 1 00
Ikhyeon-Cho/dwa_planner
The local planner used in the paper 'ODS-Bot: Mobile Robot Navigation for Outdoor Delivery Services' (IEEE Access, 2022)
Language:C++8 1 03
Ikhyeon-Cho/isr_robot_ros
ROS driver implementation of ISR M-series mobile robots, used in Intelligent Systems & Robotics Lab (ISR).
Language:C++41
Ikhyeon-Cho/map_server
Language:C++4 1 00
Ikhyeon-Cho/ODS-Bot
ODS-Bot: Mobile robot navigation for outdoor delivery services (IEEE Access, 2022)
4 1 00
Ikhyeon-Cho/fake_simulation_ros
A simple RViz simulation package providing 2D laser scan and occupancy map. For testing navigation planning algorithms
Language:C++30
Ikhyeon-Cho/ubuntu20.04-autoconfigure
Interactive installation scripts for setup the basic ROS dev environments in Ubuntu 20.04
Language:Shell30
Ikhyeon-Cho/ddynamic_reconfigure
2
Ikhyeon-Cho/elevation_mapping
Robot-centric elevation mapping for rough terrain navigation
2
Ikhyeon-Cho/elevation_mapping_cupy
Elevation Mapping on GPU.
2
Ikhyeon-Cho/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Language:C++2 0 0
Ikhyeon-Cho/grid_map
Universal grid map library for mobile robotic mapping
Language:C++2 0 0
Ikhyeon-Cho/Ikhyeon-Cho.github.io
Language:JavaScript2
Ikhyeon-Cho/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Language:C++2
Ikhyeon-Cho/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Language:C++2 0 0
Ikhyeon-Cho/nanoflann
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
2
Ikhyeon-Cho/pick-and-place
2022-1 Intelligent Robotics Term Project: Pick and Place
2
Ikhyeon-Cho/pptk
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
2
Ikhyeon-Cho/isr-roscpp
roscpp interface wrapper for personal usage.
Language:C++1 0
Ikhyeon-Cho/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Ikhyeon-Cho/realsense_ros_tools
ROS wrapper package for running Realsense RGB-D cameras
Language:Python
Ikhyeon-Cho/RoadBEV
Codes for RoadBEV: road surface reconstruction in Bird's Eye View
Ikhyeon-Cho/rosbag_editor
Create a rosbag from a given one, using a simple GUI
Ikhyeon-Cho/traversability_mapping_prm
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Language:C++
Ikhyeon-Cho/velodyne_ros_tools
This repository provides ROS package that wrapped official velodyne ROS driver for running VLP-16 sensor, manufactured by Velodyne LiDAR.
Language:CMake
Ikhyeon-Cho/zed2_ros_tools
Language:Shell