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Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

  • Published:2021 Issue: Volume: Page:1-14
  • ISSN:2162-237X
  • Container-title:IEEE Transactions on Neural Networks and Learning Systems
  • language:
  • Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Bing Zhenshan,Brucker Matthias,Morin Fabrice O.,Li Rui,Su Xiaojie,Huang Kai,Knoll Alois

Funder

European Unions Horizon 2020 Framework Programme for Research and Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 19 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. PT-KGNN: A framework for pre-training biomedical knowledge graphs with graph neural networks;Computers in Biology and Medicine;2024-08

2. Optimizing Dynamic Balance in a Rat Robot via the Lateral Flexion of a Soft Actuated Spine;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Contact Energy Based Hindsight Experience Prioritization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. A reinforcement learning enhanced pseudo-inverse approach to self-collision avoidance of redundant robots;Frontiers in Neurorobotics;2024-03-28
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