← Search

Loris Roveda

15 accepted papers

2025

GEAR: Gaze-Enabled Human-Robot Collaborative Assembly

IROS 2025

Recent progress in robot autonomy and safety has significantly improved human-robot interactions, enabling robots to work alongside humans on various tasks. However, complex assembly tasks still present significant challenges due to inherent task variability and the need for precise operations. This

Cited by 1SourceScholar
2024

Combining Sampling- and Gradient-based Planning for Contact-rich Manipulation

IROS 2024poster

Planning for contact-rich manipulation involves discontinuous dynamics, which presents challenges to planning methods. Sampling-based planners have higher sample complexity in high-dimensional problems and cannot efficiently handle state constraints such as force limits. Gradient-based solvers can s…

Cited by 3SourceScholar
2024

Differentiable Compliant Contact Primitives for Estimation and Model Predictive Control

ICRA 2024poster

Control techniques like MPC can realize contact-rich manipulation which exploits dynamic information, maintaining friction limits and safety constraints. However, contact geometry and dynamics are required to be known. This information is often extracted from CAD, limiting scalability and the abilit…

Cited by 1SourcecodeScholar
2024

Integrating Computer Vision in Exosuits for Adaptive Support and Reduced Muscle Strain in Industrial Environments

RA-L 2024

Exosuits are wearable technologies that improve physical capabilities and mobility providing support during various activities. Although primarily intended for medical rehabilitation, there is growing interest in utilizing exosuits in industrial environments to prevent work-related musculoskeletal d

Cited by 14SourceScholar
2023

Environment-Based Assistance Modulation for a Hip Exosuit via Computer Vision

RA-L 2023

Just like in humans vision plays a fundamental role in guiding adaptive locomotion, when designing the control strategy for a walking assistive technology, the use of computer vision may substantially improve modulation of the assistance based on the external environment. In this letter, we develope

Cited by 33SourceScholar
2023

Learning Human Motion Intention for pHRI Assistive Control

IROS 2023poster

This work addresses human intention identification during physical Human-Robot Interaction (pHRI) tasks to include this information in an assistive controller. To this purpose, human intention is defined as the desired trajectory that the human wants to follow over a finite rolling prediction horizo…

Cited by 5SourceScholar
2023

Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract)

IJCAI 2023poster

Physical human-robot collaboration is increasingly required in many contexts. To implement an effective collaboration, the robot should be able to recognize the human’s intentions and guarantee safe and adaptive behavior along the intended motion directions. The robot-control strategies with such at…

Cited by 54SourcePDFScholar
2023

Trajectory Learning by Therapists' Demonstrations for an Upper Limb Rehabilitation Exoskeleton

RA-L 2023

In this work, we propose a method for trajectory implementation based on the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Learning by Demonstrations</i> approach to deal with trajectory planning issues in upper-limb rehabilitation exoskeletons. Cu

Cited by 15SourceScholar
2021

Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks

IROS 2021poster

Production plants are being re-designed to implement human-centered solutions. Especially considering high added-value operations, robots are required to optimize their behavior to achieve a task quality at least comparable to the one obtained by the skilled operators. A manual programming and tunin…

Cited by 23SourceScholar
2021

Pairwise Preferences-Based Optimization of a Path-Based Velocity Planner in Robotic Sealing Tasks

RA-L 2021

Production plants are being re-designed to implement human-centered solutions. Especially considering high added-value operations, robots are required to optimize their behavior to achieve a task quality at least comparable to the one obtained by the skilled operators. A manual programming and tunin

Cited by 22SourceScholar
2020

A Control Framework Definition to Overcome Position/Interaction Dynamics Uncertainties in Force-Controlled Tasks

ICRA 2020poster

Within the Industry 4.0 context, industrial robots need to show increasing autonomy. The manipulator has to be able to react to uncertainties/changes in the working environment, displaying a robust behavior. In this paper, a control framework is proposed to perform industrial interaction tasks in un…

Cited by 20SourceScholar
2016

Optimal Impedance Force-Tracking Control Design With Impact Formulation for Interaction Tasks

RA-L 2016

The letter presents a force-tracking impedance controller granting a free-overshoots contact force (mandatory performance for many critical interaction tasks such as polishing) for partially unknown interacting environments (such as leather or hard-fragile materials). As in many applications, the ro

Cited by 114SourceScholar
2015

Impedance shaping controller for robotic applications involving interacting compliant environments and compliant robot bases

ICRA 2015poster

The impedance shaping control with robot base dynamics compensation is presented in this paper. The method has been conceived to avoid force overshoots in applications where the coupled dynamics of the global system (compliant robot base - controlled robot - interacting compliant environment) affect…

Cited by 14SourceScholar