PIMNet: Physics-Infused Neural Network for Human Motion Prediction-Reference-Cited by-同舟云学术

PIMNet: Physics-Infused Neural Network for Human Motion Prediction

Published:2022-10 Issue:4 Volume:7 Page:8949-8955
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Zhang Zhibo¹^ORCID,Zhu Yanjun²^ORCID,Rai Rahul³^ORCID,Doermann David²^ORCID

Affiliation:

1. Manufacturing and Design Lab (MADLab), Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY, USA

2. Artificial Intelligence Innovation Lab (A2IL), Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY, USA

3. Geometric Reasoning and Artificial Intelligence Lab (GRAIL), Clemson University, Greenville, SC, USA

Funder

Defense Advanced Research Projects Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09816127.pdf?arnumber=9816127

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3. Transformer-Based Prediction of Human Motions and Contact Forces for Physical Human-Robot Interaction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Hybrid modeling of multibody vehicles with partially known physics: discovering complex behaviors of tires;Multibody System Dynamics;2024-04-22

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