| Antipodal robotic grasping using generative residual convolutional neural network S Kumra, S Joshi, F Sahin 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 241 | 2020 |
| Robotic grasping using deep reinforcement learning S Joshi, S Kumra, F Sahin 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 83 | 2020 |
| Gr-convnet v2: A real-time multi-grasp detection network for robotic grasping S Kumra, S Joshi, F Sahin Sensors 22 (16), 6208, 2022 | 17 | 2022 |
| Antipodal robotic grasping using generative residual convolutional neural network. In 2020 IEEE S Kumra, S Joshi, F Sahin RSJ International Conference on Intelligent Robots and Systems (IROS), 9626-9633, 0 | 10 | |
| Kit-Net: Self-supervised learning to kit novel 3D objects into novel 3D cavities S Devgon, J Ichnowski, M Danielczuk, DS Brown, A Balakrishna, S Joshi, ... 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 8 | 2021 |
| Learning robotic manipulation tasks via task progress based gaussian reward and loss adjusted exploration S Kumra, S Joshi, F Sahin IEEE Robotics and Automation Letters 7 (1), 534-541, 2021 | 7 | 2021 |
| Learning robotic manipulation tasks through visual planning S Kumra, S Josh, F Sahin arXiv preprint arXiv:2103.01434, 2021 | 7 | 2021 |
| Antipodal robotic grasping using generative residual convolutional neural network. arXiv S Kumra, S Joshi, F Sahin arXiv preprint arXiv:1909.04810, 2019 | 7 | 2019 |
| Learning multi-step robotic manipulation policies from visual observation of scene and q-value predictions of previous action S Kumra, S Joshi, F Sahin 2022 International Conference on Robotics and Automation (ICRA), 8245-8251, 2022 | 2 | 2022 |
| Antipodal Robotic Grasping using Deep Learning S Joshi Rochester Institute of Technology, 2020 | | 2020 |
Sulabh KumraCoupangVerified email at rit.edu
