MultiGripperGrasp Toolkit 2.0. Simulation Tools for the MultiGripperGrasp Dataset
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Updated
Jun 9, 2025 - Python
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
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
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