Learning to Singulate Objects Using a Push Proposal Network

Author:

Eitel Andreas,Hauff Nico,Burgard Wolfram

Publisher

Springer International Publishing

Reference32 articles.

1. Agrawal, P., Nair, A.V., Abbeel, P., Malik, J., Levine, S.: Learning to poke by poking: Experiential learning of intuitive physics. In: Advances in Neural Information Processing Systems (NIPS) (2016)

2. Bohg, J., Hausman, K., Sankaran, B., Brock, O., Kragic, D., Schaal, S., Sukhatme, G.: Interactive perception: leveraging action in perception and perception in action. arXiv:1604.03670 (2016)

3. Boularias, A., Bagnell, J.A.D., Stentz, A.T.: Learning to manipulate unknown objects in clutter by reinforcement. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) (2015)

4. Byravan, A., Fox, D.: Se3-nets: learning rigid body motion using deep neural networks. arXiv:1606.02378 (2016)

5. Chang, L., Smith, J.R., Fox, D.: Interactive singulation of objects from a pile. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (2012)

Cited by 38 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. PLOT: Human-Like Push-Grasping Synergy Learning in Clutter With One-Shot Target Recognition;IEEE Transactions on Cognitive and Developmental Systems;2024-08

2. Object and relation centric representations for push effect prediction;Robotics and Autonomous Systems;2024-04

3. On the Generality and Application of Mason's Voting Theorem to Center of Mass Estimation for Pure Translational Motion;IEEE Transactions on Robotics;2024

4. Stable Robotic Grasping of Target Object Using Deep Reinforcement Learning;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

5. A Multitask and Kernel Approach for Learning to Push Objects with a Target-Parameterized Deep Q-Network;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3