Diego Romeres

IEEE Trans Autom. Sci. Eng., 2025

Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Black-Box Physics-Informed Estimator Based on Gaussian Process Regression for Robot Inverse Dynamics Identification.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2024

Coactive Preference-Guided Multi-Objective Bayesian Optimization: An Application to Policy Learning in Personalized Plasma Medicine.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

LLMPhy: Complex Physical Reasoning Using Large Language Models and World Models.

[BibT_eX]

[DOI]

CoRR, 2024

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

Learning control of underactuated double pendulum with Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Prasanth Sengadu Suresh

Siddarth Jain

Prashant Doshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Autonomous Robotic Assembly: From Part Singulation to Precise Assembly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open Human-Robot Collaboration Systems (OHRCS): A Research Perspective.

[BibT_eX]

[DOI]

Prasanth Sengadu Suresh

Prashant Doshi

Siddarth Jain

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2023

Introduction to the special issue on Intelligent Control and Optimisation.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.

[BibT_eX]

[DOI]

Seiji Shaw

IROS, 2023

Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Learning Generalizable Pivoting Skills.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Simultaneous Tactile Estimation and Control of Extrinsic Contact.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Design of Adaptive Compliance Controllers for Safe Robotic Assembly.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2023

Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2023

Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Chance-Constrained Optimization in Contact-rich Systems.

[BibT_eX]

[DOI]

Yuki Shirai

Proceedings of the American Control Conference, 2023

Learning Control from Raw Position Measurements.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

2022

Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills.

[BibT_eX]

[DOI]

Seiji Shaw

CoRR, 2022

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

[BibT_eX]

[DOI]

Yuki Shirai

CoRR, 2022

Active Exploration for Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization.

[BibT_eX]

[DOI]

Yuki Shirai

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Transfer Learning for Bayesian Optimization with Principal Component Analysis.

[BibT_eX]

[DOI]

Hideyuki Masui

Daniel Nikovski

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Imitation and Supervised Learning of Compliance for Robotic Assembly.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2022

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Model-based Policy Search for Partially Measurable Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 European Control Conference, 2021

Dynamic Thermal Comfort Optimization for Groups.

[BibT_eX]

[DOI]

Emil Laftchiev

Daniel Nikovski

Proceedings of the 2021 American Control Conference, 2021

Personalizing Individual Comfort in the Group Setting.

[BibT_eX]

[DOI]

Emil Laftchiev

Daniel Nikovski

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Derivative-Free Online Learning of Inverse Dynamics Models.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2020

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Towards Human-Level Learning of Complex Physical Puzzles.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Local Policy Optimization for Trajectory-Centric Reinforcement Learning.

[BibT_eX]

[DOI]

Patrik Kolaric

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

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

[BibT_eX]

[DOI]

George Dimitri Konidaris

Stefanie Tellex

CoRR, 2019

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Quasi-Newton Trust Region Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2016

Online semi-parametric learning for inverse dynamics modeling.

[BibT_eX]

[DOI]

Mattia Zorzi

Alessandro Chiuso

CoRR, 2016

On-line Bayesian system identification.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

Online semi-parametric learning for inverse dynamics modeling.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Online identification of time-varying systems: A Bayesian approach.

[BibT_eX]

[DOI]

Giulia Prando

Alessandro Chiuso

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Identification of stable models via nonparametric prediction error methods.

[BibT_eX]

[DOI]

Gianluigi Pillonetto

Alessandro Chiuso

Proceedings of the 14th European Control Conference, 2015

2013

Novel results on slow coherency in consensus and power networks.

[BibT_eX]

[DOI]