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Diego Romeres
Diego Romeres
Principal Research Scientist at Mitsubishi Electric Research Laboratories
Verified email at merl.com - Homepage
Title
Cited by
Cited by
Year
Novel results on slow coherency in consensus and power networks
D Romeres, F Dörfler, F Bullo
2013 European Control Conference (ECC), 742-747, 2013
652013
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
432016
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
422019
Tactile-rl for insertion: Generalization to objects of unknown geometry
S Dong, DK Jha, D Romeres, S Kim, D Nikovski, A Rodriguez
2021 IEEE International Conference on Robotics and Automation (ICRA), 6437-6443, 2021
282021
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
262019
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
242019
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
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
142016
Region of attraction of power systems
U Münz, D Romeres
IFAC Proceedings Volumes 46 (27), 49-54, 2013
142013
Trajectory optimization for manipulation of deformable objects: Assembly of belt drive units
S Jin, D Romeres, A Ragunathan, DK Jha, M Tomizuka
2021 IEEE International Conference on Robotics and Automation (ICRA), 10002 …, 2021
122021
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
122019
On-line bayesian system identification
D Romeres, G Prando, G Pillonetto, A Chiuso
2016 European Control Conference (ECC), 1359-1364, 2016
122016
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
102016
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
82020
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
82019
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
7*2020
Data-efficient learning for complex and real-time physical problem solving using augmented simulation
K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ...
IEEE Robotics and Automation Letters 6 (2), 4241-4248, 2021
62021
Local policy optimization for trajectory-centric reinforcement learning
P Kolaric, DK Jha, AU Raghunathan, FL Lewis, M Benosman, D Romeres, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 5094-5100, 2020
62020
Identification of stable models via nonparametric prediction error methods
D Romeres, G Pillonetto, A Chiuso
2015 European Control Conference (ECC), 2044-2049, 2015
62015
Quasi-newton trust region policy optimization
DK Jha, AU Raghunathan, D Romeres
Conference on Robot Learning, 945-954, 2020
52020
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