Enrico Franco

dblp:185/9331 · DBLP profile ↗
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5ranked-venue papers
1as first author
5since 2021 · last 2025
0000-0001-9991-7377ORCID · corroborated

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

Artificial intelligence and machine learning · 4 · 1 first-author · 4 since 2021Systems, architecture and hardware · 4 · 1 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2025 Design, Control, and Evaluation of a Novel Soft Everting Robot for Colonoscopy
abstract
Colonoscopy is a medical procedure used to examine the inside of the colon for abnormalities, such as polyps or cancer. Traditionally, this is done by manually inserting a long, flexible tube called a colonoscope into the colon. However, this method can cause pain, discomfort, and even the risk of perforation. To address these shortcomings, advancements in technology are needed to develop safer, more intelligent colonoscopes. This paper presents the design, control and evaluation of a self-growing soft robotic colonoscope, leveraging the evertion principle. The device features a tube with an 18 mm diameter, constructed from stretchable fabric, which grows 1.6 m at the tip under pressurization. A pneumatically driven, elastomer-based manipulator enables omni-directional steering over$180^\circ$at the tip. An airtight base houses motors and spools that control the material and regulate growth speed. The robot operates in two modes: teleoperation via joysticks and autonomous navigation using sensor inputs, such as a tip-mounted camera. Thoroughin-vitroexperiments are conducted to assess the system's functionality and performance. Results illustrate that the robot can achieve locomotion in confined spaces such as a colon phantom, while exerting contact forces averaging less than 0.3 N. Our soft robot shows potential for improving the safety and autonomy of colonoscopies, while reducing discomfort to patients.
Jialei Shi, Korn Borvorntanajanya, Enrico Franco, Ferdinando Rodriguez y Baena
IEEE Trans. Robotics4
2024 Development of a Low Pressure Pouch Sensor for Force Measurement in Colonoscopy Procedures
abstract
This paper presents a novel pneumatic pouch sensor, designed to mount on a colonoscope, that can effectively estimate the contact forces with the environment. The pouch sensor was designed to maximize the sensing range, and it was fabricated using a 2D laser welding technique from our track record. A flow compensation (FC) algorithm was introduced to improve the accuracy of the sensor in the presence of static load. The proposed system can reliably measure external forces up to 9.5 N with high repeatability. The system allows discriminating between different levels of force which are typically associated with increasing patient discomfort in colonoscopy: low (0-4 N), medium (4-6 N), and high (>6 N). This system achieves over 80% accuracy in comparison to the ground truth under steady state conditions (P ≤ 0.05) and maintains over 68% accuracy in dynamic scenarios.
Korn Borvorntanajanya, Jabed F. Ahmed, Mark Runciman, Enrico Franco, Nisha Patel, Ferdinando Rodriguez y Baena
IROS4
2023 Discrete-time model based control of soft manipulator with FBG sensing
abstract
In this article we investigate the discrete-time model based control of a planar soft continuum manipulator with proprioceptive sensing provided by fiber Bragg gratings. A control algorithm is designed with a discrete-time energy shaping approach which is extended to account for control-related lag of digital nature. A discrete-time nonlinear observer is employed to estimate the uncertain bending stiffness of the manipulator and to compensate constant matched disturbances. Simulations and experiments demonstrate the effectiveness of the controller compared to a continuous time implementation.
Enrico Franco, Ayhan Aktas, Shen Treratanakulchai, Arnau Garriga-Casanovas, Abdulhamit Donder, Ferdinando Rodriguez y Baena
ICRA1
2023 Model Based Position Control of Soft Hydraulic Actuators
abstract
In this article, we investigate the model based position control of soft hydraulic actuators arranged in an an-tagonistic pair. A dynamical model of the system is constructed by employing the port-Hamiltonian formulation. A control algorithm is designed with an energy shaping approach, which accounts for the pressure dynamics of the fluid. A nonlinear observer is included to compensate the effect of unknown external forces. Simulations demonstrate the effectiveness of the proposed approach, and experiments achieve positioning accuracy of 0.043 mm with a standard deviation of 0.033 mm in the presence of constant external forces up to 1 N.
Mark Runciman, Enrico Franco, James Avery, Ferdinando Rodriguez y Baena, George P. Mylonas
ICRA2
2022 Development of a 6 DOF Soft Robotic Manipulator with Integrated Sensing Skin
abstract
This paper presents a new 6 DOF soft robotic manipulator intended for colorectal surgery. The manipulator, based on a novel design that employs an inextensible tube to limit axial extension, is shown to maximize the force exerted at its tip and the bending angle, the latter being measured with a soft sensing skin. Manufacturing of the prototype is achieved with a lost-wax silicone-casting technique. The kinematic model of the manipulator, its workspace, and its manipulability are discussed. The prototype is evaluated with extensive experiments, including pressure-deflection measurement with and without tip load, and lateral force measurements with and without the soft sensing skin to assess hysteresis. The experimental results indicate that the prototype fulfils the key design requirements for colorectal surgery: (i) it can generate sufficient force to perform a range of laparoscopic tasks; (ii) the workspace is commensurate with the dimensions of the large intestine; (iii) the soft sensing skin only results in a marginal reduction of the maximum tip rotation within the range of pressures and external loads relevant for the chosen application.
Shen Treratanakulchai, Enrico Franco, Arnau Garriga-Casanovas, Panagiotis Kassanos, Ferdinando Rodriguez y Baena
IROS2