Diego Romeres

Orcid: 0000-0002-8603-2438

According to our database1, Diego Romeres authored at least 50 papers between 2012 and 2023.

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Bibliography

2023
Introduction to the special issue on Intelligent Control and Optimisation.
Eng. Appl. Artif. Intell., 2023

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection.
CoRR, 2023

Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks.
CoRR, 2023

A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification.
CoRR, 2023

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning.
CoRR, 2023

Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos.
CoRR, 2023

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.
IROS, 2023

Learning Generalizable Pivoting Skills.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Simultaneous Tactile Estimation and Control of Extrinsic Contact.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Design of Adaptive Compliance Controllers for Safe Robotic Assembly.
Proceedings of the European Control Conference, 2023

Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control.
Proceedings of the European Control Conference, 2023

Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Chance-Constrained Optimization in Contact-rich Systems.
Proceedings of the American Control Conference, 2023

Learning Control from Raw Position Measurements.
Proceedings of the American Control Conference, 2023

2022
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application.
IEEE Trans. Robotics, 2022

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills.
CoRR, 2022

Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation.
CoRR, 2022

Active Exploration for Robotic Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Transfer Learning for Bayesian Optimization with Principal Component Analysis.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Imitation and Supervised Learning of Compliance for Robotic Assembly.
Proceedings of the European Control Conference, 2022

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.
IEEE Robotics Autom. Lett., 2021

PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance.
CoRR, 2021

Model-based Policy Search for Partially Measurable Systems.
CoRR, 2021

Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models.
Proceedings of the 2021 European Control Conference, 2021

Dynamic Thermal Comfort Optimization for Groups.
Proceedings of the 2021 American Control Conference, 2021

Personalizing Individual Comfort in the Group Setting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Derivative-Free Online Learning of Inverse Dynamics Models.
IEEE Trans. Control. Syst. Technol., 2020

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements.
IEEE Robotics Autom. Lett., 2020

Towards Human-Level Learning of Complex Physical Puzzles.
CoRR, 2020

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks.
CoRR, 2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR, 2019

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.
Proceedings of the International Conference on Robotics and Automation, 2019

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.
Proceedings of the International Conference on Robotics and Automation, 2019

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models.
Proceedings of the 17th European Control Conference, 2019

Quasi-Newton Trust Region Policy Optimization.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2016
Online semi-parametric learning for inverse dynamics modeling.
CoRR, 2016

On-line Bayesian system identification.
Proceedings of the 15th European Control Conference, 2016

Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets.
Proceedings of the 15th European Control Conference, 2016

Online semi-parametric learning for inverse dynamics modeling.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Online identification of time-varying systems: A Bayesian approach.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Identification of stable models via nonparametric prediction error methods.
Proceedings of the 14th European Control Conference, 2015

2013
Novel results on slow coherency in consensus and power networks.
Proceedings of the 12th European Control Conference, 2013

2012
Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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