A Real-Time Grasp Detection Network Based on Multi-scale RGB-D Fusion

• Published in: 2024 International Joint Conference on Neural Networks (IJCNN) pp. 1 - 8
• Main Authors: Liu, Dingxi, Feng, Xiaodong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 30.06.2024
• Subjects: Accuracy; deep learning; Fuses; grasp detection; Grasping; multi-scale RGB-D fusion; Neural networks; Real-time systems; robot; Robots

Object grasping is a fundamental task for robots, and grasp detection plays a crucial role in enabling robots to recognize and grasp objects. In grasp detection, RGB and depth (RGB-D) data are widely used and employing the fusion of RGB and depth data often performs better than only using single-mod...