Dataset and Code for ICRA 2024 paper "Grasp-Anything: Large-scale Grasp Dataset from Foundation Models."

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.

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Intel® RealSense™ SDK

CUDA Accelerated Robot Library

Segmentation-driven 6D Object Pose Estimation. CVPR 2019.

Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.

A paper list of RGBD semantic segmentation (processing)