Stars
Learning adaptive grasping force for robotic fragile fruit grasping.
A generative world for general-purpose robotics & embodied AI learning.
Open-Sora: Democratizing Efficient Video Production for All
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…
Pulsation-Aware Artery Segmentation Using Motion Magnification
Python bindings for real-time control of Franka Emika robots.
ROS wrapper for NCNN neural inference framework
OpenMMLab Rotated Object Detection Toolbox and Benchmark
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A simple zed camera driver which only use CPU and only publish left and right raw images and its camera info.
OpenStereo: A Comprehensive Benchmark for Stereo Matching
Code for paper on ICRA 2022 workshop on Deformable Object Manipulation. In this work we learn keypoints from synthetic data for robotic cloth folding.
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)
[TPAMI 2025 & CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
Python sample codes and textbook for robotics algorithms.
A collection listing all Achievements available on the GitHub profile 🏆
Volumetric-based Contact Point Detection for 7-DoF Grasping
Code and supplementary material for "SOCRATES: Introducing Depth in Visual Wildlife Monitoring using Stereo Vision" (WIP)
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cor…
Related papers and codes for vision-based robotic grasping
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)