Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints. - Saverio Bolognani; Andrea Carron; Alberto Di Vittorio; Diego Romeres; Luca Schenato 001; Sandro Zampieri (CDC, 2012)

Novel results on slow coherency in consensus and power networks. - Diego Romeres; Florian Dörfler; Francesco Bullo (ECC, 2013)

Identification of stable models via nonparametric prediction error methods. - Diego Romeres; Gianluigi Pillonetto; Alessandro Chiuso (ECC, 2015)

Online identification of time-varying systems: A Bayesian approach. - Giulia Prando; Diego Romeres; Alessandro Chiuso (CDC, 2016)

Online semi-parametric learning for inverse dynamics modeling. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Alessandro Chiuso (CDC, 2016)

Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. - Giulia Prando; Diego Romeres; Gianluigi Pillonetto; Alessandro Chiuso (ECC, 2016)

On-line Bayesian system identification. - Diego Romeres; Giulia Prando; Gianluigi Pillonetto; Alessandro Chiuso (ECC, 2016)

Online semi-parametric learning for inverse dynamics modeling. - Diego Romeres; Mattia Zorzi; Alessandro Chiuso (CoRR, 2016)

Quasi-Newton Trust Region Policy Optimization. - Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRL, 2019)

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. - Diego Romeres; Devesh K. Jha; William Yerazunis; Daniel Nikovski; Hoang Anh Dau (ECC, 2019)

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. - Jeroen van Baar; Alan Sullivan; Radu Cordorel; Devesh K. Jha; Diego Romeres; Daniel Nikovski (ICRA, 2019)

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. - Diego Romeres; Devesh K. Jha; Alberto Dalla Libera; Bill Yerazunis; Daniel Nikovski (ICRA, 2019)

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Jonathan Chang; Nishanth Kumar; Sean Hastings; Aaron Gokaslan; Diego Romeres; Devesh K. Jha; Daniel Nikovski; George Dimitri Konidaris; Stefanie Tellex (CoRR, 2019)

Local Policy Optimization for Trajectory-Centric Reinforcement Learning. - Patrik Kolaric; Devesh K. Jha; Arvind U. Raghunathan; Frank L. Lewis; Mouhacine Benosman; Diego Romeres; Daniel Nikovski (ICRA, 2020)

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. - Yifang Liu; Diego Romeres; Devesh K. Jha; Daniel Nikovski (CoRR, 2020)

Towards Human-Level Learning of Complex Physical Puzzles. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (CoRR, 2020)

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. - Alberto Dalla Libera; Diego Romeres; Devesh K. Jha; Bill Yerazunis; Daniel Nikovski (IEEE Robotics Autom. Lett., 2020)

Derivative-Free Online Learning of Inverse Dynamics Models. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Silvio Traversaro; Alessandro Chiuso (IEEE Trans. Control. Syst. Technol., 2020)

Personalizing Individual Comfort in the Group Setting. - Emil Laftchiev; Diego Romeres; Daniel Nikovski (AAAI, 2021)

Dynamic Thermal Comfort Optimization for Groups. - Emil Laftchiev; Diego Romeres; Daniel Nikovski (ACC, 2021)

Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. - Alberto Dalla Libera; Fabio Amadio; Daniel Nikovski; Ruggero Carli; Diego Romeres (ECC, 2021)

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. - Siyuan Dong; Devesh K. Jha; Diego Romeres; Sangwoon Kim; Daniel Nikovski; Alberto Rodriguez 003 (ICRA, 2021)

Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. - Shiyu Jin; Diego Romeres; Arvind Ragunathan; Devesh K. Jha; Masayoshi Tomizuka (ICRA, 2021)

Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC. - Ankush Chakrabarty; Rien Quirynen; Diego Romeres; Stefano Di Cairano (SMC, 2021)

Model-based Policy Search for Partially Measurable Systems. - Fabio Amadio; Alberto Dalla Libera; Ruggero Carli; Daniel Nikovski; Diego Romeres (CoRR, 2021)

PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CoRR, 2021)

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (IEEE Robotics Autom. Lett., 2021)

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CDC, 2022)

Imitation and Supervised Learning of Compliance for Robotic Assembly. - Devesh K. Jha; Diego Romeres; William Yerazunis; Daniel Nikovski (ECC, 2022)

Transfer Learning for Bayesian Optimization with Principal Component Analysis. - Hideyuki Masui; Diego Romeres; Daniel Nikovski (ICMLA, 2022)

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (ICRA, 2022)

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ICRA, 2022)

Active Exploration for Robotic Manipulation. - Tim Schneider; Boris Belousov; Georgia Chalvatzaki; Diego Romeres; Devesh K. Jha; Jan Peters 001 (IROS, 2022)

Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRR, 2022)

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (CoRR, 2022)

Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. - Fabio Amadio; Alberto Dalla Libera; Riccardo Antonello; Daniel Nikovski; Ruggero Carli; Diego Romeres (IEEE Trans. Robotics, 2022)

Learning Control from Raw Position Measurements. - Fabio Amadio; Alberto Dalla Libera; Daniel Nikovski; Ruggero Carli; Diego Romeres (ACC, 2023)

Chance-Constrained Optimization in Contact-rich Systems. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ACC, 2023)

Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach. - Xiaoming Duan; Yebin Wang; Diego Romeres; Toshiaki Koike-Akino; Philip V. Orlik (CASE, 2023)

Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. - Devesh K. Jha; Siddarth Jain; Diego Romeres; William Yerazunis; Daniel Nikovski (ECC, 2023)

Design of Adaptive Compliance Controllers for Safe Robotic Assembly. - Devesh K. Jha; Diego Romeres; Siddarth Jain; William Yerazunis; Daniel Nikovski (ECC, 2023)

Simultaneous Tactile Estimation and Control of Extrinsic Contact. - Sangwoon Kim; Devesh K. Jha; Diego Romeres; Parag Patre; Alberto Rodriguez 003 (ICRA, 2023)

Learning Generalizable Pivoting Skills. - Xiang Zhang 020; Siddarth Jain; Baichuan Huang; Masayoshi Tomizuka; Diego Romeres (ICRA, 2023)

Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. - Chiori Hori; Puyuan Peng; David Harwath; Xinyu Liu; Kei Ota; Siddarth Jain; Radu Corcodel; Devesh K. Jha; Diego Romeres; Jonathan Le Roux (INTERSPEECH, 2023)

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (IROS, 2023)

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. - Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Daniel Nikovski; Diego Romeres (CoRR, 2023)

Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. - Lingfeng Sun; Devesh K. Jha; Chiori Hori; Siddarth Jain; Radu Corcodel; Xinghao Zhu; Masayoshi Tomizuka; Diego Romeres (CoRR, 2023)

Introduction to the special issue on Intelligent Control and Optimisation. - Seán F. McLoone; Kevin Guelton; Thierry-Marie Guerra; Gian Antonio Susto; Jus Kocijan; Diego Romeres (Eng. Appl. Artif. Intell., 2023)

Open Human-Robot Collaboration Systems (OHRCS): A Research Perspective. - Prasanth Sengadu Suresh; Diego Romeres; Prashant Doshi; Siddarth Jain (CogMI, 2024)

Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. - Lingfeng Sun; Devesh K. Jha; Chiori Hori; Siddarth Jain; Radu Corcodel; Xinghao Zhu; Masayoshi Tomizuka; Diego Romeres (ICRA, 2024)

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. - Xinghao Zhu; Devesh K. Jha; Diego Romeres; Lingfeng Sun; Masayoshi Tomizuka; Anoop Cherian (ICRA, 2024)

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. - 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; et al. (IJCAI, 2024)

DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. - Giulio Giacomuzzo; Matteo Terreran; Siddarth Jain; Diego Romeres (IROS, 2024)

Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. - Kei Ota; Devesh K. Jha; Siddarth Jain; Bill Yerazunis; Radu Corcodel; Yash Shukla; Antonia Bronars; Diego Romeres (IROS, 2024)

Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. - Prasanth Sengadu Suresh; Siddarth Jain; Prashant Doshi; Diego Romeres (IROS, 2024)

Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems. - Giulio Giacomuzzo; Riccardo Cescon; Diego Romeres; Ruggero Carli; Alberto Dalla Libera (L4DC, 2024)

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning. - Niccolò Turcato; Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres (CoRR, 2024)

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. - Shivam Vats; Devesh K. Jha; Maxim Likhachev; Oliver Kroemer; Diego Romeres (CoRR, 2024)

LLMPhy: Complex Physical Reasoning Using Large Language Models and World Models. - Anoop Cherian; Radu Corcodel; Siddarth Jain; Diego Romeres (CoRR, 2024)

Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine. - Ketong Shao; Ankush Chakrabarty; Ali Mesbah 002; Diego Romeres (IEEE Control. Syst. Lett., 2024)

A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification. - Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Alberto Dalla Libera (IEEE Trans. Robotics, 2024)

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization. - Joshua Hang Sai Ip; Ankush Chakrabarty; Ali Mesbah 002; Diego Romeres (AAAI, 2025)

Learning Positive Definite Inertia Matrices in Black-Box Inverse Dynamics Models via Gaussian Processes: a Constraint Learning Approach. - Giulio Giacomuzzo; Diego Romeres; Ruggero Carli; Alberto Dalla Libera (ECC, 2025)

Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. - Chiori Hori; Motonari Kambara; Komei Sugiura; Kei Ota; Sameer Khurana; Siddarth Jain; Radu Corcodel; Devesh K. Jha; Diego Romeres; Jonathan Le Roux (ICASSP, 2025)

FDPP: Fine-Tune Diffusion Policy with Human Preference. - Yuxin Chen; Devesh K. Jha; Masayoshi Tomizuka; Diego Romeres (ICRA, 2025)

PACE: Proactive Assistance in Human-Robot Collaboration Through Action-Completion Estimation. - Davide De Lazzari; Matteo Terreran; Giulio Giacomuzzo; Siddarth Jain; Pietro Falco; Ruggero Carli; Diego Romeres (ICRA, 2025)

PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (IEEE Trans Autom. Sci. Eng., 2025)

User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search. - Joshua Hang Sai Ip; Ankush Chakrabarty; Ali Mesbah 002; Diego Romeres (CoRR, 2025)

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; et al. (CoRR, 2025)

Learning global control of underactuated systems with Model-Based Reinforcement Learning. - Niccolò Turcato; Marco Calì; Alberto Dalla Libera; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres (CoRR, 2025)

Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. - Yuki Shirai; Kei Ota; Devesh K. Jha; Diego Romeres (CoRR, 2025)