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Christian Di Natali

dblp:116/6464 · DBLP profile ↗
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8ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0001-7399-7399ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-author · 2 since 2021Systems, architecture and hardware · 4 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 54% Interaction techniques and input · 30% Accessibility and assistive technology · 9%
Artificial intelligence
3 papers
Motion planning and robot control · 52% Robot navigation and mapping · 26% Robot manipulation · 22%

Topics — the 14 heaviest of 16, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › physical human-robot interaction
exoskeleton interaction
0.812024
Assessment and Benchmarking of XoNLI: a Natural Language Processing Interface for Industrial Exoskeletons · ICRA 2024
Interaction techniques and input
voice interaction
0.812024
Assessment and Benchmarking of XoNLI: a Natural Language Processing Interface for Industrial Exoskeletons · ICRA 2024
Human-robot interaction
wearable robot
0.612022
Shoulder-sideWINDER (Shoulder-side Wearable INDustrial Ergonomic Robot): Design and Evaluation of Shoulder Wearable Robot With Mechanisms to Compensate for Joint Misalignment · IEEE Trans. Robotics 2022
Robotics › Motion planning and robot control › robot control
feedback control
0.522016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments · IEEE Trans. Robotics 2015
Robotics › Motion planning and robot control
robot control
0.522016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments · IEEE Trans. Robotics 2015
Robotics › Robot navigation and mapping
localization
0.212016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Robotics › Robot navigation and mapping › localization › signal-based localization
magnetic localization
0.212016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Robotics › Robot manipulation › micromanipulation
magnetic manipulation
0.212016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Accessibility and assistive technology
assistive technology
0.212024
Assessment and Benchmarking of XoNLI: a Natural Language Processing Interface for Industrial Exoskeletons · ICRA 2024
Robotics › Motion planning and robot control › robot control
magnetic field control
0.212015
Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments · IEEE Trans. Robotics 2015
Robotics › Robot manipulation
tactile sensing
0.212013
Wireless tissue palpation: Proof of concept for a single degree of freedom · ICRA 2013
Robotics › Robot navigation and mapping
sensor fusion
0.112016
Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy · IEEE Trans. Robotics 2016
Robotics › Robot manipulation › medical robotics
surgical robotics
0.112015
Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments · IEEE Trans. Robotics 2015
Medical and health informatics › surgical robotics
minimally invasive surgery
0.012013
Wireless tissue palpation: Proof of concept for a single degree of freedom · ICRA 2013

Methods — techniques the papers use, named apart from their topics

user study · 0.8benchmarking · 0.8surface electromyography · 0.6kinematic performance evaluation · 0.6magnetic field measurement · 0.3load cell · 0.3least-squares interpolation · 0.2jacobian-based iterative method · 0.2finite element method · 0.2magnetic gear theory · 0.2dynamic modeling · 0.2
YearPublicationVenuePosition
2025 Physiological Measures of the Mental Workload in Users of a Lower Limb Exosuit: A Comparison of Subjective and Objective Metrics
abstract
Lower-limb exosuits are particularly relevant for individuals with some degree of mobility impairment, such as post-stroke patients or older adults with reduced movement capabilities. This study aims to investigate the mental workload (MWL) assessment of XoSoft, a lower-limb soft exoskeleton, using and comparing subjective and objective physiological metrics. The NASA-TLX questionnaire, the average percentage change in pupil size (APCPS), and the Baevsky stress index (SI) are compared. The experiments were conducted on 18 healthy subjects while walking and involved mathematical tasks to create a double-task condition. The results show a complex interaction between task difficulty, exoskeleton activation, and pupillary dynamics, suggesting that the subject might reach a saturated condition under a high mental load. Besides, the data indicate that pupil diameter may be an objective mental workload indicator that correlates with subjective NASA-TLX questionnaires. The discordant indications from the stress index suggest how different metrics of the ocular and cardiac levels respond differently to various stimuli and dynamics. Research has also revealed ocular asymmetry, with the right eye more sensitive to cognitive load.
Giulia Mariani, Chiara Lambranzi, Nicholas Cartocci, Giacinto Barresi, Christian Di Natali, Elena De Momi, Jesús Ortiz 0001
SMC5
2024 Assessment and Benchmarking of XoNLI: a Natural Language Processing Interface for Industrial Exoskeletons
abstract
Industrial exoskeletons are a potential solution for reducing work-related musculoskeletal disorders during carrying or lifting tasks. Having sensors, electrical/pneumatic actuators, and control systems, active exoskeletons present a more versatile control system because it is possible to select different assistive strategies based on the performed task. From this perspective, human-machine interaction is required to safely open basic exoskeleton domains to the user and provide an adaptable setup system. This article presents the assessment and benchmarking of the novel XoLab Natural Language Interface, a voice user interface for interaction and configuration of industrial active exoskeletons. The evaluation of the novel interface was performed by 17 participants who completed the setup and operational activities while wearing the XoTrunk exoskeleton. The benchmark consisted of a comparison of the presented device with previous adaptable interfaces for the exoskeleton: the user command interface and the monitor system interface. The results showed that although the novel interface demonstrated a considerable lag in the time response, it was more attractive, stimulating and novel than the standard one. However, the standard interface obtained favourable results over the user command interface and the voice interface perspicuity and efficiency.
Olmo A. Moreno-Franco, Raajshekhar Parameswari, Christian Di Natali, Darwin G. Caldwell, Jesús Ortiz 0001
ICRA3
2023 Human-in-the-Loop Optimization of Active Back-Support Exoskeleton Assistance Via Lumbosacral Joint Torque Estimation
abstract
The assistive profile of an active back support exoskeleton is strongly dependent on the manual tuning of controller gains based on previous experience and trial-and-error. Human-in-the-loop (HIL) optimization allows for automatic tuning of assistive profiles to different subjects. Most HIL methods make use of intrusive sensors that could affect out-of-the-lab exoskeleton adoption. Therefore, we propose a HIL-based assistive controller architecture using only one single IMU that can be easily embedded in any exoskeleton system. To validate our algorithm we recruited 3 subjects and asked them to perform a series of successive load liftings. Meanwhile, we analysed the back-muscles activations focusing on cumulative activation (iEMG), and median activation. We also monitored the total torque generated by the exoskeleton. With respect to an assistance-less condition, the proposed controller resulted in up to 19% reduction of the back-muscles activity. Moreover, compared to a state-of-the-art controller that produced up to 15% reduction of the back-muscles activity, the new controller also required generation of 4% less exoskeleton torque.
Andreas Sochopoulos, Tommaso Poliero, Darwin G. Caldwell, Jesús Ortiz 0001, Christian Di Natali
IROS5
2022 Shoulder-sideWINDER (Shoulder-side Wearable INDustrial Ergonomic Robot): Design and Evaluation of Shoulder Wearable Robot With Mechanisms to Compensate for Joint Misalignment
abstract
Shoulder-sideWINDER is an exoskeleton to assist the shoulder movement of workers performing manual tasks. It aims to minimize discomfort caused by a joint misalignment between the shoulder and an exoskeleton, which is a common problem with many closely coupled systems. Based on the shoulder’s musculoskeletal structure, we propose two novel misalignment correction mechanisms: center-of-rotation tracking mechanism and force-guiding mechanism. The center-of-rotation tracking mechanism compensates for the vertical misalignment that arises from the scapulohumeral rhythm. The force-guiding mechanism compensates for the horizontal misalignment due to changes in the plane of the arm elevation. The kinematic performance of reducing joint misalignment was evaluated using the angle ratio as the indicator under two conditions: with and without the center-of-rotation tracking mechanism. The muscle load caused by the kinematic disturbance was evaluated under three conditions: wearing the exoskeleton with and without the center-of-rotation tracking mechanism and not wearing the exoskeleton. The analysis used muscle load data measured by surface electromyography on five shoulder muscles. Five subjects executed 12 arm motions each, in 4 planes of elevation. Since the system was optimized for a pilot user, subjects with similar morphology presented positive results showing that the proposed mechanism reduced the misalignment in the dominant range of working motion. Apart from the anterior deltoid, the loads on muscles responsible for the dominant range of working motion also showed a significant reduction compared to the case without the mechanism. In conclusion, we verified that the Shoulder-sideWINDER provides comfortable support by reducing joint misalignment, and identified directions for design improvements that will further enhance usability.
Daegeun Park, Stefano Toxiri, Giorgia Chini, Christian Di Natali, Darwin G. Caldwell, Jesús Ortiz 0001
IEEE Trans. Robotics4
2016 Jacobian-Based Iterative Method for Magnetic Localization in Robotic Capsule Endoscopy
abstract
The purpose of this study is to validate a Jacobian-based iterative method for real-time localization of magnetically controlled endoscopic capsules. The proposed approach applies finite-element solutions to the magnetic field problem and least-squares interpolations to obtain closed-form and fast estimates of the magnetic field. By defining a closed-form expression for the Jacobian of the magnetic field relative to changes in the capsule pose, we are able to obtain an iterative localization at a faster computational time when compared with prior works, without suffering from the inaccuracies stemming from dipole assumptions. This new algorithm can be used in conjunction with an absolute localization technique that provides initialization values at a slower refresh rate. The proposed approach was assessed via simulation and experimental trials, adopting a wireless capsule equipped with a permanent magnet, six magnetic field sensors, and an inertial measurement unit. The overall refresh rate, including sensor data acquisition and wireless communication was 7 ms, thus enabling closed-loop control strategies for magnetic manipulation running faster than 100 Hz. The average localization error, expressed in cylindrical coordinates was below 7 mm in both the radial and axial components and 5$^\circ$ in the azimuthal component. The average error for the capsule orientation angles, obtained by fusing gyroscope and inclinometer measurements, was below 5$^\circ$.
Christian Di Natali, Marco Beccani, Nabil Simaan, Pietro Valdastri
IEEE Trans. Robotics1
2015 Closed-Loop Control of Local Magnetic Actuation for Robotic Surgical Instruments
abstract
We propose local magnetic actuation (LMA) as an approach to robotic actuation for surgical instruments. An LMA actuation unit consists of a pair of diametrically magnetized single-dipole cylindrical magnets, working as magnetic gears across the abdominal wall. In this study, we developed a dynamic model for an LMA actuation unit by extending the theory proposed for coaxial magnetic gears. The dynamic model was used for closed-loop control, and two alternative strategies-using either the angular velocity at the motor or at the load as feedback parameter-were compared. The amount of mechanical power that can be transferred across the abdominal wall at different intermagnetic distances was also investigated. The proposed dynamic model presented a relative error below 7.5% in estimating the load torque from the system parameters. Both the strategies proposed for closed-loop control were effective in regulating the load speed with a relative error below 2% of the desired steady-state value. However, the load-side closed-loop control approach was more precise and allowed the system to transmit larger values of torque, showing, at the same time, less dependence from the angular velocity. In particular, an average value of 1.5 mN·m can be transferred at 7 cm, increasing up to 13.5 mN·m as the separation distance is reduced down to 2 cm. Given the constraints in diameter and volume for a surgical instrument, the proposed approach allows for transferring a larger amount of mechanical power than what would be possible to achieve by embedding commercial dc motors.
Christian Di Natali, Jacopo Buzzi, Nicolo Garbin, Marco Beccani, Pietro Valdastri
IEEE Trans. Robotics1
2013 Wireless tissue palpation: Proof of concept for a single degree of freedom
abstract
Palpating tissues and organs to identify hidden tumors or to detect buried vessels is not a viable option in laparoscopic surgery due to lack of force feedback. So far, research toward restoring tactile and kinesthetic sensations in minimally invasive surgery has focused on the distal sensing element or on the proximal rendering of haptic cues. In this work we present a pilot study to assess the feasibility of wireless tissue palpation, where a magnetic device is deployed through a standard surgical trocar and operated to perform tissue palpation without requiring a dedicated entry port. The setup consists of a wireless intra-body device and an external robotic manipulator holding a load cell and a permanent magnet. Embedded in the wireless cylindrical device (12.7 mm in diameter and 27.5 mm in height) is a sensing module, a wireless microcontroller, a battery and a permanent magnet. This preliminary study assessed the precision in reconstructing the indentation depth based on magnetic field measurements at the wireless device (i.e., 0.1 mm accuracy). Experimental trials demonstrated the effectiveness of wireless vertical indentation in detecting the elastic modulus of three different silicone tissue simulators (elastic modulus ranging from 50 kPa to 93 kPa), showing a maximum relative error below 3%. Finally, wireless palpation was used to identify differences in tissue stiffness from a lump embedded into a porcine liver. The reported results have the potential to open a new paradigm in the field of palpation devices, where direct physical connection across the abdominal wall is no longer required.
Marco Beccani, Christian Di Natali, Mark Rentschler, Pietro Valdastri
ICRA2
2012 Trans-abdominal Active Magnetic Linkage for robotic surgery: Concept definition and model assessment
abstract
The novel concept of Trans-abdominal Active Magnetic Linkage for laparoendoscopic single site surgery has the potential to enable the deployment of a bimanual robotic platform trough a single laparoscopic incision. The main advantage of this approach consists in shifting the actuators outside the body of the patient, while transmitting a controlled robotic motion by magnetic field across the abdomen without the need for dedicated incisions. An actuation mechanism based on this approach can be comprised of multiple anchoring and actuation units, mixed depending upon the specific needs. A static model providing anchoring and actuation forces and torques available at the internal side of the magnetic link was developed to provide a tool to navigate among the many possibilities of such an open ended design approach. The model was assessed through bench top experiments, showing a maximum relative error of 4% on force predictions. An example of a single degree of freedom manipulator actuated with the proposed concept and compatible with a 12-mm access port is able to provide an anchoring force of 3.82 N and an actuation force of 2.95 N.
Christian Di Natali, Tommaso Ranzani, Massimiliano Simi, Arianna Menciassi, Pietro Valdastri
ICRA1