1. Depth-aware object segmentation and grasp detection for robotic picking tasks;Ainetter,2021
2. End-to-end trainable deep neural network for robotic grasp detection and semantic segmentation from RGB;Ainetter,2021
3. MT-DSSD: Deconvolutional single shot detector using multi task learning for object detection, segmentation, and grasping detection;Araki,2020
4. GraspNet: An efficient convolutional neural network for real-time grasp detection for low-powered devices;Asif,2018
5. Densely supervised grasp detector (DSGD);Asif,2019