Structures-Computer Interaction
Homepage Research Funding Publications Codes Teaching Team Join us News
HomepageResearchFundingPublicationsCodesTeachingTeamJoin usNews
Structures-Computer Interaction
Learning mechanics from machines

Pre-print on encoding generalizable dynamics in a Euclidean symmetric neural network

Our recent work on "Rapidly encoding generalizable dynamics in a Euclidean symmetric neural network: a Slinky case study" is available.

Link to pre-print: https://arxiv.org/abs/2203.11546

A video showcasing this work is also available on YouTube: https://youtu.be/mHCFa8U9Xpw

Yongkyu LeeMarch 23, 2022
Facebook0 Twitter 0 Likes
Previous

Presentation on "Automated stability testing of elastic rods with helical centerlines using a robotic system" for ICRA 2022

Yongkyu LeeMarch 31, 2022
Next

Prof. Jawed will be organizing a symposium in the 2022 Annual Technical Meeting of the Society of Engineering Science (SES)

Yongkyu LeeMarch 22, 2022

University of California, Los Angeles

Department of Mechanical & Aerospace Engineering

CC BY-NC-SA 4.0

Contact: khalidjm (at) seas (dot) ucla (dot) edu