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Luca Bascetta

6 accepted papers

2020

Variable Pitch System for the Underwater Explorer Robot UX-1

IROS 2020poster

This paper presents the results of the experimental tests performed to validate the functionality of a variable pitch system (VPS), designed for pitch attitude control of the novel underwater robotic vehicle explorer UX-1. The VPS is composed of a mass suspended from a central rod mounted across the…

Cited by 1SourceScholar
2019

Manipulability Optimization Control of a Serial Redundant Robot for Robot-assisted Minimally Invasive Surgery

ICRA 2019poster

This paper proposes a manipulability optimization control of a 7-DoF robot manipulator for Robot-Assisted Minimally Invasive Surgery (RAMIS), which at the same time guarantees a Remote Center of Motion (RCM). The first degree of redundancy of the manipulator is used to achieve an RCM constraint, the…

Cited by 62SourceScholar
2016

Implicit force control for an industrial robot based on stiffness estimation and compensation during motion

ICRA 2016

Although force control algorithms have been studied for three decades, this technology is not largely exploited in industry yet. The present paper proposes a position-based adaptive force control strategy, that relies on a novel method for the on line estimation of the environment stiffness. The con

Cited by 23SourceScholar
2016

Performance improvement of implicit integral robot force control through constraint-based optimization

IROS 2016poster

Classical control approaches to robot force control have been extensively addressed by research in the last decades and are now considered a paradigm when dealing with force control for industrial robots. With this respect, the present paper exploits the capability of state-of-the-art Quadratic Prog…

Cited by 13SourceScholar
2015

An incremental approach to learning generalizable robot tasks from human demonstration

ICRA 2015poster

Dynamic Movement Primitives (DMPs) are a common method for learning a control policy for a task from demonstration. This control policy consists of differential equations that can create a smooth trajectory to a new goal point. However, DMPs only have a limited ability to generalize the demonstratio…

Cited by 56SourceScholar