Structured Mechanical Models for Robot Learning and Control

Structured Mechanical Models for Robot Learning and Control

21 April 2020

Jayesh K. Gupta

Zachary Manchester

Mykel J. Kochenderfer

Papers citing "Structured Mechanical Models for Robot Learning and Control"

9 / 9 papers shown

Title
Data-Driven Control with Inherent Lyapunov Stability Youngjae Min Spencer M. Richards Navid Azizan 24 7 0 06 Mar 2023
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks Cyrus Neary Ufuk Topcu PINN AI4CE 13 12 0 01 Dec 2022
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases Salar Arbabi D. Tavernini Saber Fallah Richard Bowden 32 7 0 31 Jul 2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control Moritz Reuss Niels van Duijkeren R. Krug P. Becker Vaisakh Shaj Gerhard Neumann 9 5 0 27 May 2022
Investigating Compounding Prediction Errors in Learned Dynamics Models Nathan Lambert K. Pister Roberto Calandra AI4CE 14 27 0 17 Mar 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 15 39 0 10 Feb 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu AI4TS 27 18 0 14 Jan 2022
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering Raunak P. Bhattacharyya Soyeon Jung Liam A. Kruse Ransalu Senanayake Mykel Kochenderfer 18 26 0 29 Aug 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 408 0 25 Sep 2019