Huong Do Van (@dovanhuong)
  • Stars
    star
    64
  • Global Rank 286,771 (Top 10 %)
  • Followers 32
  • Following 26
  • Registered almost 7 years ago
  • Most used languages
    C++
    41.7 %
    Python
    33.3 %
    MATLAB
    16.7 %
    CMake
    8.3 %
  • Location 🇰🇷 South Korea
  • Country Total Rank 2,931
  • Country Ranking
    CMake
    103
    C++
    184
    MATLAB
    206
    Python
    1,459

Top repositories

1

object_detection_2d

This source code to take object detection from 2D and point out the position in 3D coordinate of object.
C++
25
star
2

dev_realsense_yolo_v3_2d

Script for inference object detection in camera Realsense D435 with yolo v3 pretrained model
Python
9
star
3

DDPG_algorithm_for_golf_putting_r0

This DDPG algorithm for take golf putting stuff with UR5 in Reinforcement learning.
Python
6
star
4

ipc_shared_memory_cpp_and_python

The open source for using the shared memory between Cpp and Python script
C++
6
star
5

Universal-Robot-UR5-and-golf-platform-Environment

This package was created an environment for UR5 learn how to play the Golf with Deep reinforcement Learning algorithm.
C++
4
star
6

Q-Learning_hopper_robot_ROS_R0

This robot used Q-Learning algorithm for Hopper robot can learn how to reach the desired point in meters. Thanks to ROS platform, Gazebo 7, the construct tutorial, OpenAI Gym to make this simulation.
Python
4
star
7

Ceres_pose_graph_2d_optimization_r0

C++
1
star
8

Path-planning-manipulator-robotics

This code for make a path planning for manipulator robotics. This work was solved inverse kinematic in manipulator robotics.
MATLAB
1
star
9

Advance-robotics-assignment

This is simulation for combination between mobile robot platform and Manipulator UR10 to simulate in Matlab environment for forward and inverse kinematic
MATLAB
1
star
10

master_thesis_hci_robotics_june_2019

This is source code for master's thesis of Huong Do Van in KIST campus under major of HCI - Robotics. The name of thesis is: ``Efficient Reinforcement Learning in Robotics Manipulation Control by mimicking real world environment with simulator
C++
1
star
11

feedback_information_UR5

This package to read the feedback signal from UR5 in each joints to publish as a topic.
CMake
1
star
12

My_moving_cube_training_R0

This project was used Q-Learning algorithm to training robot how to rotate and move to the desired position. Thanks to ROS and Gazeo7 and OpenAI Gym library were provided great environment to complete this simulation.
Python
1
star