Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation-Reference-Cited by-同舟云学术

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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Saito Namiko¹,Moura João¹,Ogata Tetsuya²,Aoyama Marina Y.¹,Murata Shingo³,Sugano Shigeki⁴,Vijayakumar Sethu¹

Affiliation:

1. School of Informatics, The University of Edin-burgh,Edinburgh,U.K.

2. Waseda University,Department of Intermedia Art and Science,Tokyo,Japan

3. Keio University,Department of Electronics and Electrical Engineering,Kanagawa,Japan

4. Waseda University,Department of Modern Mechanical Engineering,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161046.pdf?arnumber=10161046

Reference21 articles.

1. Robot Motion Planning in Learned Latent Spaces

2. An Online Task-Planning Framework Using Mixed Integer Programming for Multiple Cooking Tasks Using a Dual-Arm Robot

3. Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments

4. Next generation industrial robot Nextage;robotics,0

Cited by 3 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. Example-driven trajectory learner for robots under structured static environment;International Journal of Intelligent Robotics and Applications;2024-06-21

2. Generating Long-Horizon Task Actions by Leveraging Predictions of Environmental States;2024 IEEE/SICE International Symposium on System Integration (SII);2024-01-08

3. Example-Driven Trajectory Learner for Robots under Structured Static Environment;2023-10-30

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