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Modular Arduino two wheel balancing robot based on gimbal BLDC motors and simplefoc library
Arduino Shiled for running Gimbal BLDC motors with FOC algorithm
Pure Pursuit Control and SE(2) Planning
A working draft of a free undergraduate robotics textbook, collected from lecture notes
High-speed scooping with Direct-Drive Hand
Video Object Segmentation-based Visual Servo Control
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Fuse multiple depth frames into a TSDF voxel volume.
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
Image augmentation for machine learning experiments.
[ICCV 2019] Monocular depth estimation from a single image
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
learningLogisticsLab / ggcnn
Forked from dougsm/ggcnnGenerative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Distributed machine learning infrastructure for large-scale robotics research
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
Related papers and codes for vision-based robotic grasping
Documentation of the MAV hardware setup used at the Vision for Robotics Lab.
Build your neural network easy and fast, 莫烦Python中文教学
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
Python wrapper over OpenRave's IKFast inverse kinematics solver for a UR5 robot arm.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Central repository for our large-scale and efficient bin-picking project. wiki will be a central repository for all aspects of this work.