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3d-point-cloud-analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

deep-rl-grasping

Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

elasticfusion

Real-time dense visual SLAM system

esanet

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

ocrtoc_software_package

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.

probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

rlcard

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

stdc-seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

surfelwarp

SurfelWarp: Efficient Non-Volumetric Dynamic Reconstruction

taskgrasp

Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping

vgn

Real-time 6 DOF grasp detection in clutter.

vision-based-robotic-grasping

Related papers and codes for vision-based robotic grasping