PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning-Reference-Cited by-同舟云学术

PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning

Published:2022-10-23 Issue: Volume: Page:
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Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Babaians Edwin¹,Sharma Tapan¹,Karimi Mojtaba¹,Sharifzadeh Sahand²,Steinbach Eckehard¹

Affiliation:

1. Technical University of Munich (TUM),Department of Electrical and Computer Engineering, Chair of Media Technology (LMT) and Munich Institute of Robotics and Machine Intelligence (MIRMI)

2. Ludwig Maximilian University of Munich (LMU),Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981195.pdf?arnumber=9981195

Reference30 articles.

1. See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content

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3. Fifty2 preonlab - avl.com,2022

4. Continuous control with deep reinforcement learning;lillicrap;4th International Conference on Learning Representations ICLR 2016 San Juan Puerto Rico May 2–4 2016 Conference Track Proceedings,2016

5. Improving Scene Graph Classification by Exploiting Knowledge from Texts

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