XHao1997's Stars
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
google-deepmind/mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
jeffbass/imagezmq
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
lianghongzhuo/PointNetGPD
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
mgonzs13/yolov8_ros
Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11 for ROS 2
LiSir-HIT/Reinforcement-Learning
kinds of reinforcement learning model by Pytorch
dvalenciar/robotic_arm_environment
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.
dfki-ric/movement_primitives
Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), and spatially coupled bimanual DMPs for imitation learning.
Daniella1/urdf_files_dataset
moveit/moveit_visual_tools
Helper functions for displaying and debugging MoveIt! data in Rviz via published markers
jahongir7174/YOLOv8-pt
YOLOv8 implementation using PyTorch
PHANTOM0122/3D_Object_Reconstruction
3D object reconstruction with multi-view RGB-D images.
Geonhee-LEE/mpc_ros_description
Supports the various URDF and GAZEBO mobile robot model
zitongbai/UR5e_Vision_Assemble
Use ROS2 and Gazebo to simulate 2 UR5 assembling objects.
MetroRobots/rviz_plugin_tutorial
A tutorial on how to make rviz plugins
UniversalRobots/Universal_Robots_ROS2_GZ_Simulation
Devinterview-io/deep-learning-interview-questions
🟣 Deep Learning interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
kvgarimella/dagger
Training a car to drive in the CarRacing-v0 Gym Environment using imitation learning.
maks-it/CMake-Tutorial
Below is a step-by-step tutorial covering common build system use cases that CMake helps to address. Many of these topics have been introduced in Mastering CMake as separate issues but seeing how they all work together in an example project can be very helpful. This tutorial can be found in the Tests/Tutorial directory of the CMake source code tree. Each step has its own subdirectory containing a complete copy of the tutorial for that step.
Hymwgk/ur5_hand_eye_calibrate
ROS based UR5 (eye on hand & eye on base) hand eye automatic calibration.
JaviRG30/UR5_color_pick_and_place
UR5 (Universal Robots) pick and place employing computer vision for color-based part classification. Developed using ROS Melodic, MoveIt for path planning and Gazebo for UR5 simulation.
KolKemboi/Welder_WS
I built a 6 DoF robot with ros2 and simulated it in Gazebo
double123/ur_demo
tku-iarc/hand-eye-calibration_ROS2
XHao1997/Leafbot
low-cost servo motor driven robot for picking leaves
minje-KIM/YOLOv8_ONNX_ROS2
ROS2 package that performs object detection using YOLOv8 with ONNX
errrr0501/hand-eye-calibration_ROS2
markub3327/ImitationLearning
The self-driving car driven by Deep CNN & RNN networks is playing the racing game.
LCAS/aoc_tomato_farm
A simulated environment of the tomato farm, part of the Agri-OpenCore (AOC) project.
Sohaib-Snouber/UR5e_robotiq_gripper_RViz
configuring UR5e roboter with 2F_140 robotiq adaptive gripper on RViz