Francesco Durante

Prof. Francesco Durante

Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy
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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2020 in Materials
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Journal Article
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SAStefano Alleva
Stefano Alleva
MAMichele Gabrio Antonelli
Michele Gabrio Antonelli
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
Francesco DuranteFrancesco Durante
Francesco Durante
Powered ankle-foot prostheses for walking often have limitations in the range of motion and in push-off power, if compared to a lower limb of a healthy person. A new design of a powered ankle-foot prosthesis is proposed to obtain a wide range of motion and an adequate power for a push-off step. The design methodology for this prosthesis has three points. In the first one, a dimensionless kinematic model of the lower limb in the sagittal plane is built, through an experimental campaign with healthy subjects, to calculate the angles of lower limb during the gait. In the second point a multibody inverse dynamic model of the lower limb is constructed to calculate the foot-ground contact force, its point of application and the ankle torque too, entering as input data the calculated angles of the lower limb in the previous point. The third point requires, as input of the inverse dynamic model, the first dimensioning data of the ankle-foot prosthesis to obtain the load acting on the components of the prosthesis and the angle torque of the actuator during the gait cycle. Finally, an iteration cycle begins with the inverse dynamic model modifying the ankle torque and angle until these quantities during the gait are as close as possible to the physiological quantities. After the mechanical design and the construction of the prototype of the prosthesis, an experimental methodology was used for preliminary validation of the design. The preliminary tests in the laboratory on the prototype alone show that the range of motion of the ankle angle during the gait is close to a healthy person’s: 27.6° vs. 29°. The pushing force of the distal area of the prototype is 1.000 N, instead of 1.600 N, because a budget reduction forced us to choose components for the prototype with lower performance.

10 November 2020 in Actuators
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MAMichele Gabrio Antonelli
Michele Gabrio Antonelli
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
Walter D'ambrogioWalter D'ambrogio
Walter D'ambrogio
Francesco DuranteFrancesco Durante
Francesco Durante
In the landscape of Industry 4.0, advanced robotics awaits a growing use of bioinspired adaptive and flexible robots. Collaborative robotics meets this demand. Due to human–robot coexistence and interaction, the safety, the first requirement to be satisfied, also depends on the end effectors. End effectors made of soft actuators satisfy this requirement. A novel pneumatic bending soft actuator with high compliance, low cost, high versatility and easy production is here proposed. Conceived to be used as a finger of a collaborative robot, it is made of a hyper-elastic inner tube wrapped in a gauze. The bending is controlled by cuts in the gauze: the length and the angular extension of them, the pressure value and the dimensions of the inner tube determine the bending amplitude and avoid axial elongation. A design methodology, oriented to kinematically mirror the shape of the object to be grasped, was defined. Firstly, it consists of the development of a non-linear parametric numerical model of a bioinspired finger; then, the construction of a prototype for the experimental validation of the numerical model was performed. Hence, a campaign of simulations led to the definition of a qualitatively predictive formula, the basis for the design methodology. The effectiveness of the latter was evaluated for a real case: an actuator for the grasping of a light bulb was designed and experimentally tested.

9 August 2022 in Bioengineering
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Francesco DuranteFrancesco Durante
Francesco Durante
Terenziano RaparelliTerenziano Raparelli
Terenziano Raparelli
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
In this paper, the design of a 2-dof (degrees of freedom) rehabilitation robot for upper limbs driven by pneumatic muscle actuators is presented. This paper includes the different aspects of the mechanical design and the control system and the results of the first experimental tests. The robot prototype is constructed and at this preliminary step a position and trajectory control by fuzzy logic is implemented. The pneumatic muscle actuators used in this arm are designed and constructed by the authors’ research group.

22 February 2022 in Actuators
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Journal Article
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MAMichele Gabrio Antonelli
Michele Gabrio Antonelli
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
Francesco DuranteFrancesco Durante
Francesco Durante
MZMohammad Zeer
Mohammad Zeer
The fast-growing human–robot collaboration predicts that a human operator could command a robot without mechanical interface if effective communication channels are established. In noisy, vibrating and light sensitive environments, some sensors for detecting the human intention could find critical issues to be adopted. On the contrary, biological signals, as electromyographic (EMG) signals, seem to be more effective. In order to command a laboratory collaborative robot powered by McKibben pneumatic muscles, promising actuators for human–robot collaboration due to their inherent compliance and safety features have been researched, a novel modeling-based electromyographic signal (MBES) classifier has been developed. It is based on one EMG sensor, a Myotrac one, an Arduino Uno and a proper code, developed in the Matlab environment, that performs the EMG signal recognition. The classifier can recognize the EMG signals generated by three hand-finger movements, regardless of the amplitude and time duration of the signal and the muscular effort, relying on three mathematical models: exponential, fractional and Gaussian. These mathematical models have been selected so that they are the best fitting with the EMG signal curves. Each of them can be assigned a consent signal for performing the wanted pick-and-place task by the robot. An experimental activity was carried out to test and achieve the best performance of the classifier. The validated classifier was applied for controlling three pressure levels of a McKibben-type pneumatic muscle. Encouraging results suggest that the developed classifier can be a valid command interface for robotic purposes.

1 February 2009
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Conference Paper
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NKNatasa Koceska
Natasa Koceska
Saso KoceskiSaso Koceski
Saso Koceski
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
Francesco DuranteFrancesco Durante
Francesco Durante
This paper describes the control architecture for lower limbs rehabilitation robot system and its implementation. The system has exoskeleton structure with 10 DOF (degrees of freedom) and is pneumatically actuated. The control strategy has been specifically designed in order to ensure a proper position control guiding patient's legs along a fixed reference gait pattern. For this purposes Fuzzy controller with additional force compensator was developed. A numerical solution of the inverse kinematics problem based on video image analysis has been used. The controller was successively implemented and tested on embedded real-time PC104 system. Laboratory experiments without patient are carried out and the results are reported and discussed.

1 May 2007
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Conference Paper
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TRT. Raparelli
T. Raparelli
Pierluigi Beomonte ZobelPierluigi Beomonte Zobel
Pierluigi Beomonte Zobel
Francesco DuranteFrancesco Durante
Francesco Durante
MAMichele Gabrio Antonelli
Michele Gabrio Antonelli
PRP. Raimondi
P. Raimondi
GCG. Costanzo
G. Costanzo
This paper deals with the first clinical investigation of a new designed orthosis to apply a traction force at lumbar spine. The objective is to verify the effect on healthy subjects and to assess the comfort of the orthosis. The results obtained are interesting. No negative feedback at spine level and many data on the comfort of the orthosis. The investigation suggests some modification to the prototype.