Diego Romeres
Diego Romeres
Principal Research Scientist at Mitsubishi Electric Research Laboratories
Email verificata su merl.com - Home page
Titolo
Citata da
Citata da
Anno
Novel results on slow coherency in consensus and power networks
D Romeres, F Dörfler, F Bullo
2013 European Control Conference (ECC), 742-747, 2013
542013
Online semi-parametric learning for inverse dynamics modeling
D Romeres, M Zorzi, R Camoriano, A Chiuso
2016 IEEE 55th Conference on Decision and Control (CDC), 2945-2950, 2016
322016
Sim-to-real transfer learning using robustified controllers in robotic tasks involving complex dynamics
J van Baar, A Sullivan, R Cordorel, D Jha, D Romeres, D Nikovski
2019 International Conference on Robotics and Automation (ICRA), 6001-6007, 2019
222019
Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints
S Bolognani, A Carron, A Di Vittorio, D Romeres, L Schenato, S Zampieri
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 1118-1123, 2012
192012
Derivative-free online learning of inverse dynamics models
D Romeres, M Zorzi, R Camoriano, S Traversaro, A Chiuso
IEEE Transactions on Control Systems Technology, 2019
172019
Semiparametrical gaussian processes learning of forward dynamical models for navigating in a circular maze
D Romeres, DK Jha, A DallaLibera, B Yerazunis, D Nikovski
2019 International Conference on Robotics and Automation (ICRA), 3195-3202, 2019
132019
Region of attraction of power systems
U Münz, D Romeres
IFAC Proceedings Volumes 46 (27), 49-54, 2013
122013
Online identification of time-varying systems: A bayesian approach
G Prando, D Romeres, A Chiuso
2016 IEEE 55th Conference on Decision and Control (CDC), 3775-3780, 2016
102016
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets
G Prando, D Romeres, G Pillonetto, A Chiuso
2016 European Control Conference (ECC), 1365-1370, 2016
82016
On-line bayesian system identification
D Romeres, G Prando, G Pillonetto, A Chiuso
2016 European Control Conference (ECC), 1359-1364, 2016
82016
Learning deep parameterized skills from demonstration for re-targetable visuomotor control
J Chang, N Kumar, S Hastings, A Gokaslan, D Romeres, D Jha, ...
arXiv preprint arXiv:1910.10628, 2019
72019
Anomaly detection for insertion tasks in robotic assembly using Gaussian process models
D Romeres, DK Jha, W Yerazunis, D Nikovski, HA Dau
2019 18th European Control Conference (ECC), 1017-1022, 2019
42019
Identification of stable models via nonparametric prediction error methods
D Romeres, G Pillonetto, A Chiuso
2015 European Control Conference (ECC), 2044-2049, 2015
42015
Quasi-newton trust region policy optimization
DK Jha, AU Raghunathan, D Romeres
Conference on Robot Learning, 945-954, 2020
12020
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
A Dalla Libera, D Romeres, DK Jha, B Yerazunis, D Nikovski
IEEE Robotics and Automation Letters 5 (2), 3548-3555, 2020
12020
Simulation to real transfer learning with robustified policies for robot tasks
J van Baar, R Corcodel, A Sullivan, D Jha, D Romeres, D Nikovski
12018
Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets
D Romeres, G Prando, G Pillonetto, A Chiuso
arXiv preprint arXiv:1507.00543, 2015
12015
Towards Human-Level Learning of Complex Physical Puzzles
K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ...
arXiv preprint arXiv:2011.07193, 2020
2020
System and Method for Automatic Error Recovery in Robotic Assembly
DN Nikovski, D Jha, D Romeres
US Patent App. 16/253,585, 2020
2020
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
Y Liu, D Romeres, DK Jha, D Nikovski
arXiv preprint arXiv:2007.11646, 2020
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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