robot-grasping

MultiGripperGrasp Toolkit 2.0. Simulation Tools for the MultiGripperGrasp Dataset

LGPNet: Alleviating A Few Labeled Data and Large-Scale Network Dilemmas in Grasping Detection

This package is an implementation of view-based experience transfer for robot grasping in dense clutter.

Quality-focused Active Adversarial Policy for Safe Grasping in Human-Robot Interaction

Monozone-centric Instance Grasping Policy in Large-scale Dense Clutter

Franka Research 3 Planar Grasping with GR-CNN

ROS1 robotics grasping stack with SAM, VLM, GraspNet, MoveIt, Gazebo, and Panda integration

Object Pose Estimation Using ArUco Markers (OpenCV) — A beginner-friendly robotics computer vision pipeline for detecting ArUco markers, estimating 3D pose (x, y, z, roll, pitch, yaw) using solvePnP, and visualizing results with 3D axes. Includes camera calibration, live webcam detection, and MP4 video recording. Ideal for robotics, computer vision

Deep learning grasp detection network with simulation integration for vision-guided robot manipulation

A clean-slate, visuo-tactile physics simulation framework in MuJoCo. Dynamically processes robot assets and 3D CAD meshes to log tabular contact, shear, and deformation datasets. Run using python main.py with custom CLI parameters for open-loop validation or Gymnasium-compliant training.

Simple grasp sampler for simulation environments

🧭 Learn to estimate the 3D pose of objects using ArUco markers and OpenCV, enabling robots to interact effectively in their environment.

X3Plus 移動機械臂的強化學習訓練端：iGibson 導航策略 + PyBullet 6D 夾取策略，權重以 SHA256 與契約綁定後交付部署端 iGibson-Navigation-Grasping。

Canonical multi-gripper robot USD assets for NVIDIA Isaac Sim and Isaac Lab grasping projects.

Modular robot vision and grasping experimentation platform for RGB/RGB-D perception, spatial understanding, grasp planning, and MuJoCo/robosuite validation.