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A New Data Source for Inverse Dynamics Learning

A New Data Source for Inverse Dynamics Learning

6 October 2017
Daniel Kappler
Franziska Meier
Nathan D. Ratliff
S. Schaal
ArXiv (abs)PDFHTML

Papers citing "A New Data Source for Inverse Dynamics Learning"

8 / 8 papers shown
Physics-data hybrid dynamic model of a multi-axis manipulator for
  sensorless dexterous manipulation and high-performance motion planning
Physics-data hybrid dynamic model of a multi-axis manipulator for sensorless dexterous manipulation and high-performance motion planning
Wu-Te Yang
Jyun-Ming Liao
Pei-Chun Lin
127
1
0
07 May 2024
Double-Iterative Gaussian Process Regression for Modeling Error
  Compensation in Autonomous Racing
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous RacingIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Shaoshu Su
Ce Hao
Catherine Weaver
Chen Tang
Wei Zhan
Masayoshi Tomizuka
164
6
0
12 May 2023
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance
  through Physical Knowledge Distillation: Initial Feasibility Study
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility StudyIEEE Robotics and Automation Letters (RA-L), 2021
Hongbin Lin
Qian Gao
Xiangyu Chu
Qi Dou
Anton Deguet
Peter Kazanzides
K. W. S. Au
AI4CE
218
8
0
04 Oct 2022
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and
  Compliant Impedance Control
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
191
8
0
27 May 2022
Active Inference for Integrated State-Estimation, Control, and Learning
Active Inference for Integrated State-Estimation, Control, and Learning
Mohamed Baioumy
Paul Duckworth
Bruno Lacerda
Nick Hawes
226
35
0
12 May 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
Encoding Physical Constraints in Differentiable Newton-Euler AlgorithmConference on Learning for Dynamics & Control (L4DC), 2020
Giovanni Sutanto
Austin S. Wang
Yixin Lin
Mustafa Mukadam
Gaurav Sukhatme
Akshara Rai
Franziska Meier
497
63
0
24 Jan 2020
A Novel Adaptive Controller for Robot Manipulators based on Active
  Inference
A Novel Adaptive Controller for Robot Manipulators based on Active InferenceIEEE Robotics and Automation Letters (RA-L), 2019
Corrado Pezzato
Riccardo M. G. Ferrari
C. H. Corbato
AI4CE
183
94
0
27 Sep 2019
Online Learning of a Memory for Learning Rates
Online Learning of a Memory for Learning Rates
Franziska Meier
Daniel Kappler
S. Schaal
123
20
0
20 Sep 2017
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