2,117 research outputs found
Hybrid Data-Driven and Analytical Model for Kinematic Control of a Surgical Robotic Tool
Accurate kinematic models are essential for effective control of surgical
robots. For tendon driven robots, which is common for minimally invasive
surgery, intrinsic nonlinearities are important to consider. Traditional
analytical methods allow to build the kinematic model of the system by making
certain assumptions and simplifications on the nonlinearities. Machine learning
techniques, instead, allow to recover a more complex model based on the
acquired data. However, analytical models are more generalisable, but can be
over-simplified; data-driven models, on the other hand, can cater for more
complex models, but are less generalisable and the result is highly affected by
the training dataset. In this paper, we present a novel approach to combining
analytical and data-driven approaches to model the kinematics of nonlinear
tendon-driven surgical robots. Gaussian Process Regression (GPR) is used for
learning the data-driven model and the proposed method is tested on both
simulated data and real experimental data
Soft Robot-Assisted Minimally Invasive Surgery and Interventions: Advances and Outlook
Since the emergence of soft robotics around two decades ago, research interest in the field has escalated at a pace. It is fuelled by the industry's appreciation of the wide range of soft materials available that can be used to create highly dexterous robots with adaptability characteristics far beyond that which can be achieved with rigid component devices. The ability, inherent in soft robots, to compliantly adapt to the environment, has significantly sparked interest from the surgical robotics community. This article provides an in-depth overview of recent progress and outlines the remaining challenges in the development of soft robotics for minimally invasive surgery
Caveats on the first-generation da Vinci Research Kit: latent technical constraints and essential calibrations
Telesurgical robotic systems provide a well established form of assistance in
the operating theater, with evidence of growing uptake in recent years. Until
now, the da Vinci surgical system (Intuitive Surgical Inc, Sunnyvale,
California) has been the most widely adopted robot of this kind, with more than
6,700 systems in current clinical use worldwide [1]. To accelerate research on
robotic-assisted surgery, the retired first-generation da Vinci robots have
been redeployed for research use as "da Vinci Research Kits" (dVRKs), which
have been distributed to research institutions around the world to support both
training and research in the sector. In the past ten years, a great amount of
research on the dVRK has been carried out across a vast range of research
topics. During this extensive and distributed process, common technical issues
have been identified that are buried deep within the dVRK research and
development architecture, and were found to be common among dVRK user feedback,
regardless of the breadth and disparity of research directions identified. This
paper gathers and analyzes the most significant of these, with a focus on the
technical constraints of the first-generation dVRK, which both existing and
prospective users should be aware of before embarking onto dVRK-related
research. The hope is that this review will aid users in identifying and
addressing common limitations of the systems promptly, thus helping to
accelerate progress in the field.Comment: 15 pages, 7 figure
Cable-driven parallel robot for transoral laser phonosurgery
Transoral laser phonosurgery (TLP) is a common surgical procedure in otolaryngology.
Currently, two techniques are commonly used: free beam and fibre delivery. For free beam
delivery, in combination with laser scanning techniques, accurate laser pattern scanning can
be achieved. However, a line-of-sight to the target is required. A suspension laryngoscope is
adopted to create a straight working channel for the scanning laser beam, which could
introduce lesions to the patient, and the manipulability and ergonomics are poor. For the fibre
delivery approach, a flexible fibre is used to transmit the laser beam, and the distal tip of the
laser fibre can be manipulated by a flexible robotic tool. The issues related to the limitation
of the line-of-sight can be avoided. However, the laser scanning function is currently lost in
this approach, and the performance is inferior to that of the laser scanning technique in the
free beam approach.
A novel cable-driven parallel robot (CDPR), LaryngoTORS, has been developed for TLP.
By using a curved laryngeal blade, a straight suspension laryngoscope will not be necessary
to use, which is expected to be less traumatic to the patient. Semi-autonomous free path
scanning can be executed, and high precision and high repeatability of the free path can be
achieved. The performance has been verified in various bench and ex vivo tests. The technical
feasibility of the LaryngoTORS robot for TLP was considered and evaluated in this thesis.
The LaryngoTORS robot has demonstrated the potential to offer an acceptable and feasible
solution to be used in real-world clinical applications of TLP.
Furthermore, the LaryngoTORS robot can combine with fibre-based optical biopsy
techniques. Experiments of probe-based confocal laser endomicroscopy (pCLE) and
hyperspectral fibre-optic sensing were performed. The LaryngoTORS robot demonstrates the
potential to be utilised to apply the fibre-based optical biopsy of the larynx.Open Acces
Impact of Ear Occlusion on In-Ear Sounds Generated by Intra-oral Behaviors
We conducted a case study with one volunteer and a recording setup to detect sounds induced by the actions: jaw clenching, tooth grinding, reading, eating, and drinking. The setup consisted of two in-ear microphones, where the left ear was semi-occluded with a commercially available earpiece and the right ear was occluded with a mouldable silicon ear piece. Investigations in the time and frequency domains demonstrated that for behaviors such as eating, tooth grinding, and reading, sounds could be recorded with both sensors. For jaw clenching, however, occluding the ear with a mouldable piece was necessary to enable its detection. This can be attributed to the fact that the mouldable ear piece sealed the ear canal and isolated it from the environment, resulting in a detectable change in pressure. In conclusion, our work suggests that detecting behaviors such as eating, grinding, reading with a semi-occluded ear is possible, whereas, behaviors such as clenching require the complete occlusion of the ear if the activity should be easily detectable. Nevertheless, the latter approach may limit real-world applicability because it hinders the hearing capabilities.</p
Smart Camera Robotic Assistant for Laparoscopic Surgery
The cognitive architecture also includes learning mechanisms to adapt the behavior of the robot to the different ways of working of surgeons, and to improve the robot behavior through experience, in a similar way as a human assistant would do.
The theoretical concepts of this dissertation have been validated both through in-vitro experimentation in the labs of medical robotics of the University of Malaga and through in-vivo experimentation with pigs in the IACE Center (Instituto Andaluz de CirugĂa Experimental), performed by expert surgeons.In the last decades, laparoscopic surgery has become a daily practice in operating rooms worldwide, which evolution is tending towards less invasive techniques. In this scenario, robotics has found a wide field of application, from slave robotic systems that replicate the movements of the surgeon to autonomous robots able to assist the surgeon in certain maneuvers or to perform autonomous surgical tasks. However, these systems require the direct supervision of the surgeon, and its capacity of making decisions and adapting to dynamic environments is very limited.
This PhD dissertation presents the design and implementation of a smart camera robotic assistant to collaborate with the surgeon in a real surgical environment. First, it presents the design of a novel camera robotic assistant able to augment the capacities of current vision systems. This robotic assistant is based on an intra-abdominal camera robot, which is completely inserted into the patient’s abdomen and it can be freely moved along the abdominal cavity by means of magnetic interaction with an external magnet. To provide the camera with the autonomy of motion, the external magnet is coupled to the end effector of a robotic arm, which controls the shift of the camera robot along the abdominal wall. This way, the robotic assistant proposed in this dissertation has six degrees of freedom, which allow providing a wider field of view compared to the traditional vision systems, and also to have different perspectives of the operating area.
On the other hand, the intelligence of the system is based on a cognitive architecture specially designed for autonomous collaboration with the surgeon in real surgical environments. The proposed architecture simulates the behavior of a human assistant, with a natural and intuitive human-robot interface for the communication between the robot and the surgeon
Modeling, Analysis, Force Sensing and Control of Continuum Robots for Minimally Invasive Surgery
This dissertation describes design, modeling and application of continuum robotics for surgical applications, specifically parallel continuum robots (PCRs) and concentric tube manipulators (CTMs). The introduction of robotics into surgical applications has allowed for a greater degree of precision, less invasive access to more remote surgical sites, and user-intuitive interfaces with enhanced vision systems. The most recent developments have been in the space of continuum robots, whose exible structure create an inherent safety factor when in contact with fragile tissues. The design challenges that exist involve balancing size and strength of the manipulators, controlling the manipulators over long transmission pathways, and incorporating force sensing and feedback from the manipulators to the user.
Contributions presented in this work include: (1) prototyping, design, force sensing, and force control investigations of PCRs, and (2) prototyping of a concentric tube manipulator for use in a standard colonoscope. A general kinetostatic model is presented for PCRs along with identification of multiple physical constraints encountered in design and construction. Design considerations and manipulator capabilities are examined in the form of matrix metrics and ellipsoid representations. Finally, force sensing and control are explored and experimental results are provided showing the accuracy of force estimates based on actuation force measurements and control capabilities.
An overview of the design requirements, manipulator construction, analysis and experimental results are provided for a CTM used as a tool manipulator in a traditional colonoscope. Currently, tools used in colonoscopic procedures are straight and exit the front of the scope with 1 DOF of operation (jaws of a grasper, tightening of a loop, etc.). This research shows that with a CTM deployed, the dexterity of these tools can be increased dramatically, increasing accuracy of tool operation, ease of use and safety of the overall procedure. The prototype investigated in this work allows for multiple tools to be used during a single procedure. Experimental results show the feasibility and advantages of the newly-designed manipulators
Cable-driven parallel mechanisms for minimally invasive robotic surgery
Minimally invasive surgery (MIS) has revolutionised surgery by providing faster recovery times, less post-operative complications, improved cosmesis and reduced pain for the patient. Surgical robotics are used to further decrease the invasiveness of procedures, by using yet smaller and fewer incisions or using natural orifices as entry point. However, many robotic systems still suffer from technical challenges such as sufficient instrument dexterity and payloads, leading to limited adoption in clinical practice. Cable-driven parallel mechanisms (CDPMs) have unique properties, which can be used to overcome existing challenges in surgical robotics. These beneficial properties include high end-effector payloads, efficient force transmission and a large configurable instrument workspace. However, the use of CDPMs in MIS is largely unexplored. This research presents the first structured exploration of CDPMs for MIS and demonstrates the potential of this type of mechanism through the development of multiple prototypes: the ESD CYCLOPS, CDAQS, SIMPLE, neuroCYCLOPS and microCYCLOPS. One key challenge for MIS is the access method used to introduce CDPMs into the body. Three different access methods are presented by the prototypes. By focusing on the minimally invasive access method in which CDPMs are introduced into the body, the thesis provides a framework, which can be used by researchers, engineers and clinicians to identify future opportunities of CDPMs in MIS. Additionally, through user studies and pre-clinical studies, these prototypes demonstrate that this type of mechanism has several key advantages for surgical applications in which haptic feedback, safe automation or a high payload are required. These advantages, combined with the different access methods, demonstrate that CDPMs can have a key role in the advancement of MIS technology.Open Acces
On Neuromechanical Approaches for the Study of Biological Grasp and Manipulation
Biological and robotic grasp and manipulation are undeniably similar at the
level of mechanical task performance. However, their underlying fundamental
biological vs. engineering mechanisms are, by definition, dramatically
different and can even be antithetical. Even our approach to each is
diametrically opposite: inductive science for the study of biological systems
vs. engineering synthesis for the design and construction of robotic systems.
The past 20 years have seen several conceptual advances in both fields and the
quest to unify them. Chief among them is the reluctant recognition that their
underlying fundamental mechanisms may actually share limited common ground,
while exhibiting many fundamental differences. This recognition is particularly
liberating because it allows us to resolve and move beyond multiple paradoxes
and contradictions that arose from the initial reasonable assumption of a large
common ground. Here, we begin by introducing the perspective of neuromechanics,
which emphasizes that real-world behavior emerges from the intimate
interactions among the physical structure of the system, the mechanical
requirements of a task, the feasible neural control actions to produce it, and
the ability of the neuromuscular system to adapt through interactions with the
environment. This allows us to articulate a succinct overview of a few salient
conceptual paradoxes and contradictions regarding under-determined vs.
over-determined mechanics, under- vs. over-actuated control, prescribed vs.
emergent function, learning vs. implementation vs. adaptation, prescriptive vs.
descriptive synergies, and optimal vs. habitual performance. We conclude by
presenting open questions and suggesting directions for future research. We
hope this frank assessment of the state-of-the-art will encourage and guide
these communities to continue to interact and make progress in these important
areas
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