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Name: Wang Gongcheng
Type: User
Company: Harbin Institute of Technology
Location: Harbin
Name: Wang Gongcheng
Type: User
Company: Harbin Institute of Technology
Location: Harbin
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
AI project for 3D Path Planning. Other details and running instructions can be found on the Readme.md file
Robot 3D path planning with A* and D* Algorithms
A project for Motion Planning: Combined application of A* with RRT* where A* acts as a global planner and RRT* acts as a local planner
图像images/点云point clouds标注工具汇总
Lidar-based Place Recognition Using Bird's-eye View Images
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
误差状态卡尔曼ESKF滤波器融合GPS和IMU,实现更高精度的定位
IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本,复现的fast-lio2)
A General-Purpose Trajectory Optimizer for Multicopters
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Autonomous Navigation and Collision Avoidance for Ground Robots
基于ROS的手眼标定
Robosense雷达和Xsense MTI-300的硬件时间同步方案
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
This project aims to efficiently estimate complete human-like variable impedance skills from human demonstrations and to transfer the skills to real-world robots. In this project, we applied GMM-GMR to extract a reference pose trajectory and estimate stiffness profiles from collected data. Then, we utilized DMP to imitate and generalize the taught
A ROS package tool to analyze the IMU performance.
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.
Modular framework for online informative path planning.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
A 2-D/3-DOF seamless global/local mobile robot motion planner package for ROS
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
An OpenRAVE Plugin for Parabolic Smoothing
Implementation of cv::Mat conversion to numpy.array for pybind11
Proposes neural networks that can generate animation of virtual characters for different actions.
R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping package
r2live Chinese comments(r2live中文注释)
机器人运动规划和控制相关论文,每周更新
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