Diego Romeres - RankMe

106 papers A* 16A 7B 1C 5Misc 2Journal 58Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Embedding Morphology into Transformers for Cross-Robot Policy Learning. CoRR Kei Suzuki, Jing Liu, Ye Wang, Chiori Hori, Matthew Brand, Diego Romeres, Toshiaki Koike-Akino
2026	J	`jnl`	Learning Non-Prehensile Manipulation With Force and Vision Feedback Using Optimization-Based Demonstrations. IEEE Robotics Autom. Lett. Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2026	J	`jnl`	PPGuide: Steering Diffusion Policies with Performance Predictive Guidance. CoRR Zixing Wang, Devesh K. Jha, Ahmed H. Qureshi, Diego Romeres
2025	A*	`conf`	FDPP: Fine-Tune Diffusion Policy with Human Preference. ICRA Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres
2025	J	`jnl`	FDPP: Fine-tune Diffusion Policy with Human Preference. CoRR Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres
2025	Misc	`conf`	Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. ICASSP Chiori Hori, Motonari Kambara, Komei Sugiura, Kei Ota, Sameer Khurana, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. CoRR Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2025	—	`conf`	Learning Positive Definite Inertia Matrices in Black-Box Inverse Dynamics Models via Gaussian Processes: a Constraint Learning Approach. ECC Giulio Giacomuzzo, Diego Romeres, Ruggero Carli, Alberto Dalla Libera
2025	J	`jnl`	Learning global control of underactuated systems with Model-Based Reinforcement Learning. CoRR Niccolò Turcato, Marco Calì, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres
2025	A*	`conf`	PACE: Proactive Assistance in Human-Robot Collaboration Through Action-Completion Estimation. ICRA Davide De Lazzari, Matteo Terreran, Giulio Giacomuzzo, Siddarth Jain, Pietro Falco, Ruggero Carli, Diego Romeres
2025	J	`jnl`	PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. IEEE Trans Autom. Sci. Eng. Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2025	J	`jnl`	Real-time human progress estimation with online dynamic time warping for collaborative robotics. Frontiers Robotics AI Davide De Lazzari, Matteo Terreran, Giulio Giacomuzzo, Siddarth Jain, Pietro Falco, Ruggero Carli, Stefano Ghidoni, Diego Romeres
2025	A	`conf`	RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. IROS Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2025	J	`jnl`	Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. CoRR 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, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
2025	C	`conf`	Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM. ASRU Chiori Hori, Yoshiki Masuyama, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM. CoRR Chiori Hori, Yoshiki Masuyama, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	A*	`conf`	User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization. AAAI Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2025	J	`jnl`	User-Preference Meets Pareto-Optimality: Multi-Objective Bayesian Optimization with Local Gradient Search. CoRR Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2024	J	`jnl`	A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification. IEEE Trans. Robotics Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Alberto Dalla Libera
2024	A	`conf`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. IROS Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	J	`jnl`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	J	`jnl`	Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine. IEEE Control. Syst. Lett. Ketong Shao, Ankush Chakrabarty, Ali Mesbah, Diego Romeres
2024	A	`conf`	DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. IROS Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain, Diego Romeres
2024	J	`jnl`	DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly. CoRR Giulio Giacomuzzo, Matteo Terreran, Siddarth Jain, Diego Romeres
2024	A*	`conf`	Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. ICRA Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
2024	J	`jnl`	LLMPhy: Complex Physical Reasoning Using Large Language Models and World Models. CoRR Anoop Cherian, Radu Corcodel, Siddarth Jain, Diego Romeres
2024	—	`conf`	Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems. L4DC Giulio Giacomuzzo, Riccardo Cescon, Diego Romeres, Ruggero Carli, Alberto Dalla Libera
2024	J	`jnl`	Learning control of underactuated double pendulum with Model-Based Reinforcement Learning. CoRR Niccolò Turcato, Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres
2024	A*	`conf`	Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. ICRA Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
2024	—	`conf`	Open Human-Robot Collaboration Systems (OHRCS): A Research Perspective. CogMI Prasanth Sengadu Suresh, Diego Romeres, Prashant Doshi, Siddarth Jain
2024	A	`conf`	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. IROS Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres
2024	J	`jnl`	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. CoRR Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres
2024	J	`jnl`	RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. CoRR Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2024	A*	`conf`	Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. IJCAI 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
2023	J	`jnl`	A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification. CoRR Giulio Giacomuzzo, Alberto Dalla Libera, Diego Romeres, Ruggero Carli
2023	C	`conf`	Chance-Constrained Optimization in Contact-rich Systems. ACC Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2023	A	`conf`	Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2023	—	`conf`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2023	J	`jnl`	Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres
2023	—	`conf`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2023	J	`jnl`	Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. CoRR Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
2023	J	`jnl`	Introduction to the special issue on Intelligent Control and Optimisation. Eng. Appl. Artif. Intell. Seán F. McLoone, Kevin Guelton, Thierry-Marie Guerra, Gian Antonio Susto, Jus Kocijan, Diego Romeres
2023	C	`conf`	Learning Control from Raw Position Measurements. ACC Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2023	J	`jnl`	Learning Control from Raw Position Measurements. CoRR Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
2023	A*	`conf`	Learning Generalizable Pivoting Skills. ICRA Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
2023	J	`jnl`	Learning Generalizable Pivoting Skills. CoRR Xiang Zhang, Siddarth Jain, Baichuan Huang, Masayoshi Tomizuka, Diego Romeres
2023	J	`jnl`	Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. CoRR Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
2023	A*	`conf`	Simultaneous Tactile Estimation and Control of Extrinsic Contact. ICRA Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
2023	J	`jnl`	Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
2023	J	`jnl`	Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	A	`conf`	Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	—	`conf`	Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach. CASE Xiaoming Duan, Yebin Wang, Diego Romeres, Toshiaki Koike-Akino, Philip V. Orlik
2022	A	`conf`	Active Exploration for Robotic Manipulation. IROS Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Active Exploration for Robotic Manipulation. CoRR Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2022	J	`jnl`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2022	J	`jnl`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	—	`conf`	Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	—	`conf`	Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2022	J	`jnl`	PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	A*	`conf`	PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	A*	`conf`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	C	`conf`	Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA Hideyuki Masui, Diego Romeres, Daniel Nikovski
2021	—	`conf`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021	C	`conf`	Dynamic Thermal Comfort Optimization for Groups. ACC Emil Laftchiev, Diego Romeres, Daniel Nikovski
2021	J	`jnl`	Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2021	B	`conf`	Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC. SMC Ankush Chakrabarty, Rien Quirynen, Diego Romeres, Stefano Di Cairano
2021	J	`jnl`	Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
2021	J	`jnl`	Model-based Policy Search for Partially Measurable Systems. CoRR Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
2021	J	`jnl`	PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2021	A*	`conf`	Personalizing Individual Comfort in the Group Setting. AAAI Emil Laftchiev, Diego Romeres, Daniel Nikovski
2021	A*	`conf`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2021	J	`jnl`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2021	A*	`conf`	Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. ICRA Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
2021	J	`jnl`	Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. CoRR Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
2020	J	`jnl`	Derivative-Free Online Learning of Inverse Dynamics Models. IEEE Trans. Control. Syst. Technol. Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2020	A*	`conf`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Towards Human-Level Learning of Complex Physical Puzzles. CoRR Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2020	J	`jnl`	Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
2019	—	`conf`	Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
2019	J	`jnl`	Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
2019	Misc	`conf`	Quasi-Newton Trust Region Policy Optimization. CoRL Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	J	`jnl`	Quasi-Newton Trust Region Policy Optimization. CoRR Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	A*	`conf`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
2019	A*	`conf`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2018	J	`jnl`	Derivative-free online learning of inverse dynamics models. CoRR Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Silvio Traversaro, Alessandro Chiuso
2018	J	`jnl`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
2018	J	`jnl`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2016	—	`conf`	Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2016	J	`jnl`	On-line Bayesian System Identification. CoRR Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016	—	`conf`	On-line Bayesian system identification. ECC Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016	J	`jnl`	Online Identification of Time-Varying Systems: a Bayesian approach. CoRR Giulia Prando, Diego Romeres, Alessandro Chiuso
2016	—	`conf`	Online identification of time-varying systems: A Bayesian approach. CDC Giulia Prando, Diego Romeres, Alessandro Chiuso
2016	—	`conf`	Online semi-parametric learning for inverse dynamics modeling. CDC Diego Romeres, Mattia Zorzi, Raffaello Camoriano, Alessandro Chiuso
2016	J	`jnl`	Online semi-parametric learning for inverse dynamics modeling. CoRR Diego Romeres, Mattia Zorzi, Alessandro Chiuso
2015	—	`conf`	Identification of stable models via nonparametric prediction error methods. ECC Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2013	—	`conf`	Novel results on slow coherency in consensus and power networks. ECC Diego Romeres, Florian Dörfler, Francesco Bullo
2012	—	`conf`	Distributed multi-hop reactive power compensation in smart micro-grids subject to saturation constraints. CDC Saverio Bolognani, Andrea Carron, Alberto Di Vittorio, Diego Romeres, Luca Schenato, Sandro Zampieri