TODO：整理仓库

Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network

当时我们被视频大大地震撼了并且决定采用 Parallel Jaw 式机械臂

代码实现（PyTorch）：https://github.com/skumra/robotic-grasping

https://github.com/skumra/baxter-pnp

@article{kumra2019antipodal,
  title={Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network},
  author={Kumra, Sulabh and Joshi, Shirin and Sahin, Ferat},
  journal={arXiv preprint arXiv:1909.04810},
  year={2019}
}

---

Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

代码实现（PyTorch）：https://github.com/dougsm/ggcnn_kinova_grasping

@article{morrison2018closing,
    title={Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach},
    author={Morrison, Douglas and Corke, Peter and Leitner, Jürgen},
    booktitle={Robotics: Science and Systems (RSS)},
    year={2018}
}

高度怀疑他们是同一所学校的，连github repo都这么像。