david-s-martinez/Dex-GAN-Grasp
DexGANGrasp: Dexterous Generative Adversarial Grasping Synthesis for Task-Oriented Manipulation - IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2024 | DOI: 10.1109/Humanoids58906.2024.10769950
This project provides a way for roboticists and automation engineers to program robots to pick up and manipulate objects using advanced robotic hands. You provide the system with a single view of an object, and it generates stable grasp configurations in real-time. This helps ensure robots can reliably perform complex tasks like assembling products or handling delicate items.
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Use this if you need a robotic arm with a dexterous hand to reliably grasp and manipulate a variety of objects in real-world or simulated environments, especially for task-oriented operations.
Not ideal if your robot only requires simple two-finger gripper grasps or if you are not working with advanced multi-fingered robotic hands.
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Oct 15, 2024
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