Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators

29 December 2022

Papers citing "Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators"

6 / 6 papers shown

Title
Optimal Virtual Model Control for Robotics: Design and Tuning of Passivity-Based Controllers Daniel Larby F. Forni 54 1 0 20 Jan 2025
Nonlinear Modes as a Tool for Comparing the Mathematical Structure of Dynamic Models of Soft Robots Pietro Pustina Davide Calzolari Alin Albu-Schäffer Alessandro De Luca Cosimo Della Santina 11 1 0 10 Feb 2024
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups Yannik P. Wotte Federico Califano Stefano Stramigioli AI4CE 24 1 0 25 Jan 2024
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations Sven Dummer N. Strisciuglio Christoph Brune MedIm 23 2 0 22 May 2023
Lyapunov-Net: A Deep Neural Network Architecture for Lyapunov Function Approximation Nathan Gaby Fumin Zhang X. Ye PINN 32 39 0 27 Sep 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 422 0 10 Mar 2020