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1601.04549
Cited By
Incremental Semiparametric Inverse Dynamics Learning
18 January 2016
Raffaello Camoriano
Silvio Traversaro
Lorenzo Rosasco
Giorgio Metta
F. Nori
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Papers citing
"Incremental Semiparametric Inverse Dynamics Learning"
17 / 17 papers shown
Title
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
Giulio Giacomuzzo
Alberto Dalla Libera
Diego Romeres
R. Carli
92
2
0
10 Oct 2023
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study
Hongbin Lin
Qian Gao
Xiangyu Chu
Qi Dou
Anton Deguet
Peter Kazanzides
K. W. S. Au
AI4CE
75
7
0
04 Oct 2022
Automated Heart and Lung Auscultation in Robotic Physical Examinations
Yifan Zhu
A. Smith
Kris K. Hauser
44
11
0
24 Jan 2022
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
108
42
0
05 Oct 2021
iCub
Lorenzo Natale
Chiara Bartolozzi
F. Nori
G. Sandini
Giorgio Metta
23
0
0
05 May 2021
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. R. Geist
Sebastian Trimpe
AI4CE
90
17
0
11 Dec 2020
Leveraging Forward Model Prediction Error for Learning Control
Sarah Bechtle
Bilal Hammoud
Akshara Rai
Franziska Meier
Ludovic Righetti
33
3
0
07 Nov 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
85
22
0
01 Jul 2020
Boosting Deep Open World Recognition by Clustering
Dario Fontanel
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
81
21
0
20 Apr 2020
Large-scale Kernel Methods and Applications to Lifelong Robot Learning
Raffaello Camoriano
82
1
0
11 Dec 2019
Online Simultaneous Semi-Parametric Dynamics Model Learning
Joshua R. Smith
M. Mistry
61
8
0
09 Oct 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
123
250
0
29 Jun 2019
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
Sebastian Riedel
F. Stulp
55
7
0
27 Jun 2019
Derivative-free online learning of inverse dynamics models
D. Romeres
Mattia Zorzi
Raffaello Camoriano
Silvio Traversaro
A. Chiuso
69
33
0
13 Sep 2018
A New Data Source for Inverse Dynamics Learning
Daniel Kappler
Franziska Meier
Nathan D. Ratliff
S. Schaal
77
19
0
06 Oct 2017
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics
Nathan D. Ratliff
Franziska Meier
Daniel Kappler
S. Schaal
85
17
0
01 Aug 2016
Online semi-parametric learning for inverse dynamics modeling
D. Romeres
Mattia Zorzi
Raffaello Camoriano
A. Chiuso
57
48
0
17 Mar 2016
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