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Paolo Rocco

Researcher at Polytechnic University of Milan

Publications -  216
Citations -  4243

Paolo Rocco is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Robot & Industrial robot. The author has an hindex of 30, co-authored 203 publications receiving 3366 citations. Previous affiliations of Paolo Rocco include Instituto Politécnico Nacional & University of Milan.

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Proceedings ArticleDOI

Robotic Handling of Liquids with Spilling Avoidance: A Constraint-Based Control Approach

TL;DR: This paper presents a new control architecture for motion planning of industrial robots, able to tackle the problem of liquid transfer with sloshing control, and shows how to enforce an anti spilling constraint.
Journal ArticleDOI

Modeling and experimental analysis of the vibrations in hard disk drives

TL;DR: In this paper, a combined methodology based on dynamic modeling and experimental measures is used to study the vibrations in hard disk drives, in a frequency range up to 1 kHz, where only the disk modes coupled with the spindle motion are retained.
Proceedings ArticleDOI

Compensation of motor torque disturbances in industrial robots

TL;DR: A control scheme which autonomously identifies the parameters of the disturbance model, through simple closed loop motion experiments, is outlined and experiments carried out on an industrial robot demonstrate the effectiveness of the control scheme in suppressing oscillations, both on the motor and on the load side.
Proceedings ArticleDOI

Force ripple compensation in linear motors with application to a parallel kinematic machine

TL;DR: In this paper, a force disturbance observer is used to compensate for force ripple in a two-head linear motor assembled to serve as the actuator for a two degrees of freedom parallel kinematic machine.
Proceedings ArticleDOI

Towards the Exact Solution for Speed and Separation Monitoring for Improved Human-Robot Collaboration

TL;DR: A novel approach is proposed that minimally affects the productivity while being consistent with such a safety prescription and a comprehensive simulation study shows that the method outperforms the current state of the art algorithm.