keemdhyun's Stars
MarkFzp/act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
AutoRally/autorally
Software for the AutoRally platform
ShunChengWu/SceneGraphFusion
SS47816/lidar_obstacle_detector
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
tud-airlab/mppi-isaac
Model Predictive Path Integral Control using isaacgym for rollouts, gpu-accelerated
artofnothingness/mppic
vectr-ucla/direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
ANYbotics/elevation_mapping
Robot-centric elevation mapping for rough terrain navigation
ANYbotics/grid_map
Universal grid map library for mobile robotic mapping
UMich-CURLY-teaching/UMich-ROB-530-public
UMich 500-Level Mobile Robotics Course
szebedy/autonomous-drone
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.
MikeS96/autonomous_landing_uav
ROS packages of the Autonomous landing system of a UAV in Gazebo
HKUST-Aerial-Robotics/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
Kihoon-Shin/sunrise
2020 drone competition
Kihoon-Shin/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
Shiaoming/Python-VO
A simple python implemented frame-by-frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.
BaekKyunShin/OpenCV_Project_Python
OpenCV 프로젝트
APRIL-ZJU/lidar_IMU_calib
[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
niconielsen32/VisualSLAM
carlosmccosta/dynamic_robot_localization
Point cloud registration pipeline for robot localization and 3D perception
engcang/vins-application
VINS-Fusion, VINS-Fisheye, OpenVINS, EnVIO, ROVIO, S-MSCKF, ORB-SLAM2, NVIDIA Elbrus application of different sets of cameras and imu on different board including desktop and Jetson boards
MichaelBeechan/VO-SLAM-Review
SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects
KumarRobotics/msckf_vio
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
ethz-asl/okvis
OKVIS: Open Keyframe-based Visual-Inertial SLAM.
ethz-asl/rovio
url-kaist/kaistviodataset
"Visual-Inertial Dataset" (RA-L'21 with ICRA'21): it contains harsh motions for VO/VIO, like pure rotation or fast rotation with various motion types.
michiganrobotics/rob101
Pilot course for Robotics 101: Computational Linear Algebra
michiganrobotics/rob501
Mathematics for Robotics
MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
pilsung-kang/multivariate-data-analysis
Multivariate data analysis @Korea University (Undergraduate)