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Paolo Franceschi

3 accepted papers

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
2022

Adaptive Impedance Controller for Human-Robot Arbitration based on Cooperative Differential Game Theory

ICRA 2022poster

The problem addressed in this work is the arbitration of the role between a robot and a human during physical Human-Robot Interaction, sharing a common task. The system is modeled as a Cartesian impedance, with two separate external forces provided by the human and the robot. The problem is then ref…

Cited by 24SourceScholar
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