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2020 – today
- 2024
[j6]Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Alberto Dalla Libera:
A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification. IEEE Trans. Robotics 40: 4842-4858 (2024)- [c37]Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian:
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. ICRA 2024: 816-823 - [c36]Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres:
Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. ICRA 2024: 14054-14061 - [c35]Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar:
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. IJCAI 2024: 8833-8837 - [c34]Giulio Giacomuzzo, Riccardo Cescon, Diego Romeres, Ruggero Carli, Alberto Dalla Libera:
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems. L4DC 2024: 1292-1304 - [i38]Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres:
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR abs/2406.05331 (2024) - [i37]Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain, Diego Romeres:
DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. CoRR abs/2408.16125 (2024) - [i36]Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres:
Learning control of underactuated double pendulum with Model-Based Reinforcement Learning. CoRR abs/2409.05811 (2024) - [i35]Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres:
Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. CoRR abs/2410.01790 (2024) - 2023
- [j5]Seán F. McLoone, Kevin Guelton
, Thierry-Marie Guerra, Gian Antonio Susto, Jus Kocijan, Diego Romeres:
Introduction to the special issue on Intelligent Control and Optimisation. Eng. Appl. Artif. Intell. 123(Part B): 106325 (2023) - [c33]Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres:
Chance-Constrained Optimization in Contact-rich Systems. ACC 2023: 14-21 - [c32]Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. ACC 2023: 2171-2178 - [c31]Xiaoming Duan, Yebin Wang, Diego Romeres, Toshiaki Koike-Akino, Philip V. Orlik:
Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach. CASE 2023: 1-7 - [c30]Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski:
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC 2023: 1-8 - [c29]Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski:
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC 2023: 1-8 - [c28]Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres:
Learning Generalizable Pivoting Skills. ICRA 2023: 5865-5871 - [c27]Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez:
Simultaneous Tactile Estimation and Control of Extrinsic Contact. ICRA 2023: 12563-12569 - [c26]Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux:
Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH 2023: 4663-4667 - [c25]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS 2023: 3672-3679 - [i34]Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres:
Learning Control from Raw Position Measurements. CoRR abs/2301.13183 (2023) - [i33]Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez:
Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR abs/2303.03385 (2023) - [i32]Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres:
Learning Generalizable Pivoting Skills. CoRR abs/2305.02554 (2023) - [i31]Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux:
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR abs/2306.15644 (2023) - [i30]Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres:
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR abs/2307.05093 (2023) - [i29]Giulio Giacomuzzo, Alberto Dalla Libera, Diego Romeres, Ruggero Carli:
A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification. CoRR abs/2310.06585 (2023) - [i28]Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres:
Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. CoRR abs/2312.06876 (2023) - [i27]Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian:
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. CoRR abs/2312.10571 (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 2024-11-11 22:23 CET by the dblp team
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