Diego Romeres

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 73

Top Topics

Gaussian Process

Reinforcement Learning

Top Venues

Publications

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)
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)
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 (2024)
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)
Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
Simultaneous Tactile Estimation and Control of Extrinsic Contact. ICRA (2023)
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. CoRR (2023)
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) (2023)
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
Learning Generalizable Pivoting Skills. CoRR (2023)
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)
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. ACC (2023)
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 (2023)
Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR (2023)
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 (2023)
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 (2023)
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)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC (2023)
Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
Learning Generalizable Pivoting Skills. ICRA (2023)
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)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC (2023)
Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-rich Systems. ACC (2023)
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 (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR (2022)
Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
Active Exploration for Robotic Manipulation. CoRR (2022)
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 (2022)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR (2022)
Hideyuki Masui, Diego Romeres, Daniel Nikovski
Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA (2022)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR (2022)
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) (2022)
Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
Active Exploration for Robotic Manipulation. IROS (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR (2021)
Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. CoRR (2021)
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) (2021)
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)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR (2021)
Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
Model-based Policy Search for Partially Measurable Systems. CoRR (2021)
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR (2021)
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)
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 (2021)
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)
Emil Laftchiev, Diego Romeres, Daniel Nikovski
Dynamic Thermal Comfort Optimization for Groups. ACC (2021)
Emil Laftchiev, Diego Romeres, Daniel Nikovski
Personalizing Individual Comfort in the Group Setting. AAAI (2021)
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 (2021)
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)
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 (2020)
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 (2020)
Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR (2020)
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) (2020)
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)
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 (2020)
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) (2020)
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)
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)
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 (2019)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRR (2019)
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)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRL (2019)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
Derivative-free online learning of inverse dynamics models. CoRR (2018)
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 (2018)
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 (2018)
Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
Online semi-parametric learning for inverse dynamics modeling. CDC (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian system identification. ECC (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online Identification of Time-Varying Systems: a Bayesian approach. CoRR (2016)
Diego Romeres, Mattia Zorzi, Alessandro Chiuso
Online semi-parametric learning for inverse dynamics modeling. CoRR (2016)
Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC (2016)
Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
On-line Bayesian System Identification. CoRR (2016)
Giulia Prando, Diego Romeres, Alessandro Chiuso
Online identification of time-varying systems: A Bayesian approach. CDC (2016)
Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
Identification of stable models via nonparametric prediction error methods. ECC (2015)
Diego Romeres, Florian Dörfler, Francesco Bullo
Novel results on slow coherency in consensus and power networks. ECC (2013)
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)