抓取檢測論文總結之Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

時間 2021-01-11

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論文簡介：《Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach》 2018年發表於Robotics: Science and Systems (RSS)，作者：Douglas Morrison, Peter Corke and Jürgen Leitner 摘要： 1

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1. 機器人視覺抓取論文及代碼資源
2. 抓取檢測之Robotic Grasp Detection using Deep Convolutional Neural Networks
3. 機器人抓取彙總|涉及目標檢測、分割、姿態識別、抓取點檢測、路徑規劃
4. 【Ubuntu&ROS】乾貨！小夥伴們快來拿，超全機械臂抓取開源項目！
5. 抓取檢測之Task-oriented Grasping in Object Stacking Scenes with CRF-based Semantic Model
6. 抓取檢測之GraspCNN: Real-Time Grasp Detection Using a New Oriented Diameter Circle Representation
7. A Generalized Deep Learning Approach for Evaluating Secondary Pulmonary Tuberculosis...論文總結
8. 論文筆記：Learning task-oriented grasping for tool manipulation from simulated self-supervision
9. 泡泡一分鐘：Using Geometric Features to Represent Near-Contact Behavior in Robotic Grasping
10. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀

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