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2020 – today
- 2023
[i29]Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. CoRR abs/2301.13183 (2023)- [i28]Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez:
Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR abs/2303.03385 (2023) - [i27]Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres:
Learning Generalizable Pivoting Skills. CoRR abs/2305.02554 (2023) - 2022
- [j4]Fabio Amadio
, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics 38(6): 3879-3898 (2022) - [c24]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC 2022: 7571-7578 - [c23]Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski:
Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC 2022: 1882-1889 - [c22]Hideyuki Masui, Diego Romeres, Daniel Nikovski:
Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA 2022: 1077-1084 - [c21]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA 2022: 985-991 - [c20]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA 2022: 992-998 - [c19]Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters:
Active Exploration for Robotic Manipulation. IROS 2022: 9355-9362 - [i26]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR abs/2203.02616 (2022) - [i25]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR abs/2203.10013 (2022) - [i24]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR abs/2203.11412 (2022) - [i23]Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski:
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR abs/2204.10447 (2022) - [i22]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR abs/2209.14461 (2022) - [i21]Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters:
Active Exploration for Robotic Manipulation. CoRR abs/2210.12806 (2022) - [i20]Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski:
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR abs/2212.01434 (2022) - 2021
- [j3]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6(2): 4241-4248 (2021) - [c18]Emil Laftchiev, Diego Romeres, Daniel Nikovski:
Personalizing Individual Comfort in the Group Setting. AAAI 2021: 15339-15346 - [c17]Emil Laftchiev, Diego Romeres, Daniel Nikovski:
Dynamic Thermal Comfort Optimization for Groups. ACC 2021: 1456-1463 - [c16]Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC 2021: 243-248 - [c15]Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez:
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA 2021: 6437-6443 - [c14]Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka:
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. ICRA 2021: 10002-10008 - [c13]Ankush Chakrabarty, Rien Quirynen, Diego Romeres, Stefano Di Cairano:
Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC. SMC 2021: 3238-3244 - [i19]Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres:
Model-based Policy Search for Partially Measurable Systems. CoRR abs/2101.08740 (2021) - [i18]Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR abs/2101.12115 (2021) - [i17]Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez:
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR abs/2104.01167 (2021) - [i16]Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR abs/2104.12854 (2021) - [i15]Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka:
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. CoRR abs/2106.00898 (2021) - [i14]Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres:
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR abs/2106.03220 (2021) - [i13]Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski:
Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR abs/2111.10488 (2021) - 2020
- [j2]Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski:
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. 5(2): 3548-3555 (2020) - [j1]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. 28(3): 816-830 (2020) - [c12]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA 2020: 5094-5100 - [i12]Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski:
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR abs/2001.08092 (2020) - [i11]Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski:
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR abs/2002.10621 (2020) - [i10]Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski:
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR abs/2007.11646 (2020) - [i9]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Towards Human-Level Learning of Complex Physical Puzzles. CoRR abs/2011.07193 (2020)
2010 – 2019
- 2019
- [c11]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRL 2019: 945-954 - [c10]Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau:
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC 2019: 1017-1022 - [c9]Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski:
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA 2019: 3195-3202 - [c8]Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski:
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA 2019: 6001-6007 - [i8]Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex:
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR abs/1910.10628 (2019) - [i7]Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Quasi-Newton Trust Region Policy Optimization. CoRR abs/1912.11912 (2019) - 2018
- [i6]Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski:
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR abs/1809.04720 (2018) - [i5]Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski:
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR abs/1809.04993 (2018) - [i4]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso:
Derivative-free online learning of inverse dynamics models. CoRR abs/1809.05074 (2018) - 2016
- [c7]Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso:
Online semi-parametric learning for inverse dynamics modeling. CDC 2016: 2945-2950 - [c6]Giulia Prando, Diego Romeres, Alessandro Chiuso:
Online identification of time-varying systems: A Bayesian approach. CDC 2016: 3775-3780 - [c5]Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso:
On-line Bayesian system identification. ECC 2016: 1359-1364 - [c4]Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso:
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC 2016: 1365-1370 - [i3]Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso:
On-line Bayesian System Identification. CoRR abs/1601.04251 (2016) - [i2]Diego Romeres, Mattia Zorzi, Alessandro Chiuso:
Online semi-parametric learning for inverse dynamics modeling. CoRR abs/1603.05412 (2016) - [i1]Giulia Prando, Diego Romeres, Alessandro Chiuso:
Online Identification of Time-Varying Systems: a Bayesian approach. CoRR abs/1609.07393 (2016) - 2015
- [c3]Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso:
Identification of stable models via nonparametric prediction error methods. ECC 2015: 2044-2049 - 2013
- [c2]Diego Romeres, Florian Dörfler, Francesco Bullo:
Novel results on slow coherency in consensus and power networks. ECC 2013: 742-747 - 2012
- [c1]Saverio Bolognani, Andrea Carron, Alberto Di Vittorio, Diego Romeres, Luca Schenato, Sandro Zampieri:
Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints. CDC 2012: 1118-1123
Coauthor Index
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last updated on 2023-05-11 22:06 CEST by the dblp team
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