Author:
Yu Houjian,Choi Changhyun
Publisher
Springer Nature Switzerland
Reference40 articles.
1. Boerdijk, W., Sundermeyer, M., Durner, M., Triebel, R.: Self-supervised object-in-gripper segmentation from robotic motions. arXiv preprint arXiv:2002.04487 (2020)
2. Bohg, J.: Interactive perception: Leveraging action in perception and perception in action. IEEE Trans. Rob. 33(6), 1273–1291 (2017)
3. Byravan, A., Fox, D.: Se3-nets: Learning rigid body motion using deep neural networks. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 173–180. IEEE (2017)
4. Calli, B., Walsman, A., Singh, A., Srinivasa, S., Abbeel, P., Dollar, A.M.: Benchmarking in manipulation research: Using the yale-cmu-berkeley object and model set. IEEE Robotics Autom. Mag. 22(3), 36–52 (2015). https://doi.org/10.1109/MRA.2015.2448951
5. Chaudhary, K., et al.: Retrieving unknown objects using robot in-the-loop based interactive segmentation. In: 2016 IEEE/SICE International Symposium on System Integration (SII), pp. 75–80. IEEE (2016)
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Object-aware interactive perception for tabletop scene exploration;Robotics and Autonomous Systems;2024-05
2. Attribute-Based Robotic Grasping With Data-Efficient Adaptation;IEEE Transactions on Robotics;2024
3. Self-Supervised Instance Segmentation by Grasping;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
4. Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
5. IOSG: Image-Driven Object Searching and Grasping;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01