CMRM: A Cross-Modal Reasoning Model to Enable Zero-Shot Imitation Learning for Robotic RFID Inventory in Unstructured Environments-Reference-Cited by-同舟云学术

CMRM: A Cross-Modal Reasoning Model to Enable Zero-Shot Imitation Learning for Robotic RFID Inventory in Unstructured Environments

Author:

Wu Yongshuai¹,Zhang Jian²,Wu Shaoen¹,Mao Shiwen³,Wang Ying⁴

Affiliation:

1. Kennesaw State University,Department of Information Technology,Marietta,GA,USA,30060

2. Kennesaw State University,Department of Electrical and Computer Engineering,Marietta,GA,USA,30060

3. Auburn University,Department of Electrical and Computer Engineering,Auburn,AL,USA,36849-5201

4. Kennesaw State University,Department of Robotics and Mechatronics Engineering,Marietta,GA,USA,30060

Funder

NSF

Publisher

IEEE

Link

Reference22 articles.

5. Physically embedded planning problems: New challenges for reinforcement learning;Mirza;arXiv preprint,2020

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