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DOOMED: Direct Online Optimization of Modeling Errors in Dynamics
v1v2 (latest)

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics

1 August 2016
Nathan D. Ratliff
Franziska Meier
Daniel Kappler
S. Schaal
ArXiv (abs)PDFHTML

Papers citing "DOOMED: Direct Online Optimization of Modeling Errors in Dynamics"

6 / 6 papers shown
Title
Real-time Model Predictive Control and System Identification Using
  Differentiable Physics Simulation
Real-time Model Predictive Control and System Identification Using Differentiable Physics Simulation
Sirui Chen
Keenon Werling
A. Wu
Chenxi Liu
92
6
0
20 Feb 2022
Combining Physics and Deep Learning to learn Continuous-Time Dynamics
  Models
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINNAI4CE
108
42
0
05 Oct 2021
Structured Mechanical Models for Robot Learning and Control
Structured Mechanical Models for Robot Learning and Control
Jayesh K. Gupta
Kunal Menda
Zachary Manchester
Mykel J. Kochenderfer
DRL
61
35
0
21 Apr 2020
A General Framework for Structured Learning of Mechanical Systems
A General Framework for Structured Learning of Mechanical Systems
Jayesh K. Gupta
Kunal Menda
Zachary Manchester
Mykel J. Kochenderfer
AI4CE
77
35
0
22 Feb 2019
A New Data Source for Inverse Dynamics Learning
A New Data Source for Inverse Dynamics Learning
Daniel Kappler
Franziska Meier
Nathan D. Ratliff
S. Schaal
77
19
0
06 Oct 2017
Real-time Perception meets Reactive Motion Generation
Real-time Perception meets Reactive Motion Generation
Daniel Kappler
Franziska Meier
J. Issac
Jim Mainprice
C. Cifuentes
Manuel Wüthrich
V. Berenz
S. Schaal
Nathan D. Ratliff
Jeannette Bohg
87
100
0
10 Mar 2017
1