Loris Roveda

Orcid: 0000-0002-4427-536X

According to our database1, Loris Roveda authored at least 63 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Gradient Descent-Based Task-Orientation Robot Control Enhanced With Gaussian Process Predictions.
IEEE Robotics Autom. Lett., September, 2024

Adaptive Optimization of Hyper-Parameters for Robotic Manipulation through Evolutionary Reinforcement Learning.
J. Intell. Robotic Syst., September, 2024

Integrating Computer Vision in Exosuits for Adaptive Support and Reduced Muscle Strain in Industrial Environments.
IEEE Robotics Autom. Lett., January, 2024

A framework for human-robot collaboration enhanced by preference learning and ergonomics.
Robotics Comput. Integr. Manuf., 2024

Integrating Reinforcement Learning with Foundation Models for Autonomous Robotics: Methods and Perspectives.
CoRR, 2024

Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation.
CoRR, 2024

A Friction Compensation Strategy for an Upper Limb Exosuit.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Differentiable Compliant Contact Primitives for Estimation and Model Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling.
Proceedings of the 21st International Conference on Informatics in Control, 2024

2023
Environment-Based Assistance Modulation for a Hip Exosuit via Computer Vision.
IEEE Robotics Autom. Lett., May, 2023

Trajectory Learning by Therapists' Demonstrations for an Upper Limb Rehabilitation Exoskeleton.
IEEE Robotics Autom. Lett., 2023

Combining Sampling- and Gradient-based Planning for Contact-rich Manipulation.
CoRR, 2023

Predicting human motion intention for pHRI assistive control.
CoRR, 2023

Teaching contact-rich tasks from visual demonstrations by constraint extraction.
CoRR, 2023

Differentiable Environment Primitives for Contact State Estimation.
CoRR, 2023

Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels.
CoRR, 2023

Learning Human Motion Intention for pHRI Assistive Control.
IROS, 2023

Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Experimental Validation of an Actor-Critic Model Predictive Force Controller for Robot-Environment Interaction Tasks.
Proceedings of the 20th International Conference on Informatics in Control, 2023

Imitation Learning-Based Visual Servoing for Tracking Moving Objects.
Proceedings of the Human-Friendly Robotics 2023, 2023

Evaluation of Tactile Feedback for Teleoperated Glove-Based Interaction Tasks.
Proceedings of the Human-Friendly Robotics 2023, 2023

2022
Sensorless Optimal Interaction Control Exploiting Environment Stiffness Estimation.
IEEE Trans. Control. Syst. Technol., 2022

Robot End-Effector Mounted Camera Pose Optimization in Object Detection-Based Tasks.
J. Intell. Robotic Syst., 2022

Environment-based Assistance Modulation for a Hip Exosuit via Computer Vision.
CoRR, 2022

Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning.
Auton. Robots, 2022

Q-Learning-based model predictive variable impedance control for physical human-robot collaboration.
Artif. Intell., 2022

A Backbone-Tracking Passive Exoskeleton to Reduce the Stress on the Low-Back: Proof of Concept Study.
Proceedings of the International Conference on Rehabilitation Robotics, 2022

Pointing Gestures for Human-Robot Interaction in Service Robotics: A Feasibility Study.
Proceedings of the Computers Helping People with Special Needs, 2022

Sensor-Based Task Ergonomics Feedback for a Passive Low-Back Exoskeleton.
Proceedings of the Computers Helping People with Special Needs, 2022

2021
Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization.
Robotics Auton. Syst., 2021

Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks.
IEEE Robotics Autom. Lett., 2021

Review on Patient-Cooperative Control Strategies for Upper-Limb Rehabilitation Exoskeletons.
Frontiers Robotics AI, 2021

Sensorless environment stiffness and interaction force estimation for impedance control tuning in robotized interaction tasks.
Auton. Robots, 2021

Sensorless Optimal Switching Impact/Force Controller.
IEEE Access, 2021

External Joint Torques Estimation for a Position-Controlled Manipulator Employing an Extended Kalman Filter.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

Enhancing Object Detection Performance Through Sensor Pose Definition with Bayesian Optimization.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

2020
PIROS: Cooperative, Safe and Reconfigurable Robotic Companion for CNC Pallets Load/Unload Stations.
Proceedings of the Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users, 2020

Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration.
J. Intell. Robotic Syst., 2020

Robust state dependent Riccati equation variable impedance control for robotic force-tracking tasks.
Int. J. Intell. Robotics Appl., 2020

One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Learning Continuous Control Actions for Robotic Grasping with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Assembly Task Learning and Optimization through Human's Demonstration and Machine Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Tactile sensing with gesture-controlled collaborative robot.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

Interaction Force Computation Exploiting Environment Stiffness Estimation for Sensorless Robot Applications.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

A Control Framework Definition to Overcome Position/Interaction Dynamics Uncertainties in Force-Controlled Tasks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Mechanical and Control Design of an Industrial Exoskeleton for Advanced Human Empowering in Heavy Parts Manipulation Tasks.
Robotics, 2019

Efficiently Computable Constrained Optimal Feedback Controllers.
IEEE Robotics Autom. Lett., 2019

Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules.
Frontiers Robotics AI, 2019

Adaptive Interaction Controller for Compliant Robot Base Applications.
IEEE Access, 2019

On the Proposal of a Unified Safety Framework for Industry 4.0 Multi-Robot Scenario.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018
Iterative Learning Procedure With Reinforcement for High-Accuracy Force Tracking in Robotized Tasks.
IEEE Trans. Ind. Informatics, 2018

Discrete-Time Formulation for Optimal Impact Control in Interaction Tasks.
J. Intell. Robotic Syst., 2018

Fuzzy Impedance Control for Enhancing Capabilities of Humans in Onerous Tasks Execution.
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

A User-Intention Based Adaptive Manual Guidance with Force-Tracking Capabilities Applied to Walk-Through Programming for Industrial Robots.
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Human-Robot Cooperative Interaction Control for the Installation of Heavy and Bulky Components.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Industrial compliant robot bases in interaction tasks: a force tracking algorithm with coupled dynamics compensation.
Robotica, 2017

2016
Optimal Impedance Force-Tracking Control Design With Impact Formulation for Interaction Tasks.
IEEE Robotics Autom. Lett., 2016

Cartesian tasks oriented friction compensation through a reinforcement learning approach.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
Impedance shaping controller for robotic applications involving interacting compliant environments and compliant robot bases.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Impedance Control based Force-tracking Algorithm for Interaction Robotics Tasks: An Analytically Force Overshoots-free Approach.
Proceedings of the ICINCO 2015, 2015

2014
Force-tracking impedance control for manipulators mounted on compliant bases.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Impedance Shaping Controller for Robotic Applications in Interaction with Compliant Environments.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014

2013
Deformation-tracking impedance control in interaction with uncertain environments.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013


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