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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"
24 / 24 papers shown
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Yu Zhang
Yongxiang Zou
Haoyu Zhang
Zeyu Liu
Houcheng Li
Long Cheng
AI4CE
324
2
0
08 Aug 2024
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
IEEE Transactions on robotics (TRO), 2023
Giulio Giacomuzzo
Alberto Dalla Libera
Diego Romeres
R. Carli
303
18
0
10 Oct 2023
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning
IFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Alberto Dalla Libera
Giulio Giacomuzzo
R. Carli
D. Nikovski
Diego Romeres
AI4CE
133
5
0
11 Jul 2023
Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study
IEEE Robotics and Automation Letters (RA-L), 2021
Hongbin Lin
Qian Gao
Xiangyu Chu
Qi Dou
Anton Deguet
Peter Kazanzides
K. W. S. Au
AI4CE
221
8
0
04 Oct 2022
Automated Heart and Lung Auscultation in Robotic Physical Examinations
IEEE Robotics and Automation Letters (RA-L), 2022
Yifan Zhu
A. Smith
Kris K. Hauser
168
14
0
24 Jan 2022
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models
M. Lutter
Jan Peters
PINN
AI4CE
376
81
0
05 Oct 2021
iCub
Lorenzo Natale
Chiara Bartolozzi
F. Nori
G. Sandini
Giorgio Metta
223
0
0
05 May 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
OOD
332
0
0
16 Dec 2020
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. R. Geist
Sebastian Trimpe
AI4CE
434
25
0
11 Dec 2020
Leveraging Forward Model Prediction Error for Learning Control
Sarah Bechtle
Bilal Hammoud
Akshara Rai
Franziska Meier
Ludovic Righetti
212
3
0
07 Nov 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
418
25
0
01 Jul 2020
Real-Time Regression with Dividing Local Gaussian Processes
Armin Lederer
Alejandro Jose Ordóñez Conejo
K. Maier
Wenxin Xiao
Jonas Umlauft
Sandra Hirche
257
12
0
16 Jun 2020
Boosting Deep Open World Recognition by Clustering
IEEE Robotics and Automation Letters (RA-L), 2020
Dario Fontanel
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
287
25
0
20 Apr 2020
Learning State-Dependent Losses for Inverse Dynamics Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Kristen Morse
Neha Das
Yixin Lin
Austin S. Wang
Akshara Rai
Franziska Meier
AI4CE
298
8
0
10 Mar 2020
Large-scale Kernel Methods and Applications to Lifelong Robot Learning
Raffaello Camoriano
204
1
0
11 Dec 2019
Online Simultaneous Semi-Parametric Dynamics Model Learning
IEEE Robotics and Automation Letters (RA-L), 2019
Joshua R. Smith
M. Mistry
207
10
0
09 Oct 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Information Fusion (Inf. Fusion), 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
CLL
449
298
0
29 Jun 2019
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
Sebastian Riedel
F. Stulp
156
7
0
27 Jun 2019
Derivative-free online learning of inverse dynamics models
D. Romeres
Mattia Zorzi
Raffaello Camoriano
Silvio Traversaro
A. Chiuso
225
36
0
13 Sep 2018
Manifold regularization based on Nystr{ö}m type subsampling
Abhishake Rastogi
Sivananthan Sampath
203
4
0
13 Oct 2017
A New Data Source for Inverse Dynamics Learning
Daniel Kappler
Franziska Meier
Nathan D. Ratliff
S. Schaal
132
21
0
06 Oct 2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
203
45
0
20 Sep 2017
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics
Nathan D. Ratliff
Franziska Meier
Daniel Kappler
S. Schaal
186
20
0
01 Aug 2016
Online semi-parametric learning for inverse dynamics modeling
D. Romeres
Mattia Zorzi
Raffaello Camoriano
A. Chiuso
176
51
0
17 Mar 2016
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