pibaopi

pibaopi's Stars

• maheersayeed99/RobotWorkspaceVisualizer

  Language:C++1

• the-lambda-way/CppLox

  An implementation of *jlox* from Crafting Interpreters in C++.

  Language:C++336

• TripleSBinPicking/bin_picking_environment

  Automated Bin Picking With A Cobot - Saxion Smart Solution Project

  Language:Python102

• lh9171338/Astar

  ROS package of A star algorithm

  Language:C++12620

• isyiming/Astar-search-algorithm

  A星算法搜索最短路径search the shortest road by A* algorithm

  Language:Python3813

• yehengchen/Synthetic-Data-UE4

  113

• YW0330/ROS_KinovaGen3

  Implement the ROS package to control Kinova Gen3 in torque mode.

  Language:C++31

• YW0330/KinovaGen3Model

  Build the static library from MATLAB Code Generation, the Kinova Gen3 Model is demonstrated.

  Language:C++3

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell48.8k11.1k

• mramonb/KinovaGen3_iMOVE

  This repository presents 3 implementations for controlling the robotic arm of Kinovarobotics: Kinova Gen3 Ultralight weight with 7 DoF and a code for its compensation of gravity and Coriolis

  Language:C++91

• phuicy/Kinova-Torque-Control

  Language:C++5

• JhonPool4/journal_ws

  Control the ur5 robot with the proportional-derivative and sliding mode control method. The two control methods modify their control gains with a cost function focus on minimizing the position and jerk error. Finally, the robot with the control methods could be simulated in gazebo or rviz.

  Language:Python81

• LiHaoyang0616/ROS-SLAM-MATLAB-Moveit2.0

  该项目通过ROS平台，进行挖掘机仿真。包括SLAM建图导航算法部署，Moveit2.0机械臂挖掘动作仿真，Matlab-ROS联合通信显示雷达图，并控制Gazebo移动。The project carries out excavator simulation through ROS platform. Including SLAM mapping navigation algorithm deployment, Moveit2.0 robot arm mining action simulation, matlab-ros joint communication display radar map, and control Gazebo movement

  Language:Python502

• gedoor/legado

  Legado 3.0 Book Reader with powerful controls & full functions❤️阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

  Language:Kotlin25.8k3.6k

• whitedoll/ur5_gazebo_ws

  Language:Python1

• 2227324689/ToBeBetter

  【面试题整理】涉及到分布式、微服务、算法、多线程、解决方案等多方面面试题; 来自咕泡学院VIP学员的真实面试经历及面试题的梳理，帮助大家更好的进入一线互联网企业。面试会涉及到、spring cloud、I/O、HashMap、ConcurrentHashMap、JVM、Spring、Redis、Kafka、等各个技术方面来进行分解

  190105

• Hymwgk/PointNetGPD

  PointNetGPD实验复现与注释

  Language:Python6620

• avinashsen707/AUBOi5-D435-ROS-DOPE

  Aubo i5 Dual Arm Collaborative Robot - RealSense D435 - 3D Object Pose Estimation - ROS

  Language:C++9513

• 1508912767/force_control

  Language:C++215

• Kminseo/Parts-Arrangement-Robot

  Language:Python1611

• kkufieta/ur5_modeling_force_estimate

  Modeling, Simulation and force estimation with the UR5.

  Language:C3712

• NVlabs/Deep_Object_Pose

  Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

  Language:Python988276

• yehengchen/Object-Grasp-Detection-ROS

  Real-time Object Grasp Detection ROS package for YOLO

  Language:C++21276

• skywoodsz/aubo_pick_up_with_6D

  aubo_pick_up_with_6D

  Language:C++266

• yehengchen/DOPE-ROS-D435

  Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435

  Language:C++18136

• 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.

  Language:Python31172

• marcoesposito1988/easy_aruco

  ROS wrapper for the OpenCV integration of ArUco and ChArUco

  Language:C++198

• gouxiangchen/UR5-control-with-RG2

  using TCP/IP network comunication to control UR5 robot with a RG2 gripper

  Language:Python10822

• pengxinyi-up/mobile-grab-Robot

  Simulation design and Realization of face recognition, voice control, autonomous movement, recognition and grasping robot based on ROS

  Language:C++4314

• bubbliiiing/yolov4-pytorch

  这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

  Language:Python2.1k612