Robotic Assistance Research Articles

Co-creating Humanistic AI AgeTech to Support Dynamic Care Ecosystems: A Preliminary Guiding Model.

As society rapidly digitizes, successful aging necessitates using technology for health and social care and social engagement. Technologies aimed to support older adults (e.g., smart homes, assistive robots, wheelchairs) are increasingly applying artificial intelligence (AI), and thereby creating ethical challenges to technology development and use. The international debate on AI ethics focuses on implications to society (e.g., bias, equity) and to individuals (e.g., privacy, consent). The relational nature of care, however, warrants a humanistic lens to examine how "AI AgeTech" will shape, and be shaped by, social networks or care ecosystems in terms of their care actors (i.e., older adults, care partners, service providers); inter-actor relations (e.g., care decision-making) and relationships (e.g., social, professional); and evolving care arrangements. For instance, if an older adult's reduced functioning leads actors to renegotiate their risk tolerances and care routines, smart homes or robots become more than tools that actors configure; they become semi-autonomous actors, in themselves, with the potential to influence functioning and interpersonal relationships. As an experientially-diverse, transdisciplinary working group of older adults, care partners, researchers, clinicians, and entrepreneurs, we co-constructed intersectional care experiences, to guide technology research, development, and use. Our synthesis contributes a preliminary guiding model for AI AgeTech innovation that delineates humanistic attributes, values, and design orientations, and captures the ethical, sociological, and technological nuances of dynamic care ecosystems. Our visual probes and recommended tools and techniques offer researchers, developers/innovators, and care actors concrete ways of using this model to promote successful aging in AI-enabled futures.

Proprioception enhancement for robot assisted neural rehabilitation: a dynamic electrical stimulation based method and preliminary results from EEG analysis

Objective.In recent years, the robot assisted (RA) rehabilitation training has been widely used to counteract defects of the manual one provided by physiotherapists. However, since the proprioception feedback provided by the robotic assistance or the manual methods is relatively weak for the paralyzed patients, their rehabilitation efficiency is still limited. In this study, a dynamic electrical stimulation (DES) based proprioception enhancement and the associated quantitative analysis methods have been proposed to overcome the limitation mentioned above.Approach.Firstly, the DES based proprioception enhancement method was proposed for the RA neural rehabilitation. In the method, the relationship between the surface electromyogram (sEMG) envelope of the specified muscle and the associated joint angles was constructed, and the electrical stimulation (ES) pulses for the certain joint angles were designed by consideration of the corresponding sEMG envelope, based on which the ES can be dynamically regulated during the rehabilitation training. Secondly, power spectral density, source estimation, and event-related desynchronization of electroencephalogram, were combinedly used to quantitatively analyze the proprioception from multiple perspectives, based on which more comprehensive and reliable analysis results can be obtained. Thirdly, four modes of rehabilitation training tasks, namely active, RA, DES-RA, and ES-only training, were designed for the comparison experiment and validation of the proposed DES based proprioception enhancement method.Main results.The results indicated that the activation of the sensorimotor cortex was significantly enhanced when the DES was added, and the cortex activation for the DES-RA training was similar to that for the active training. Meanwhile, relatively consistent results from the multiple perspectives were obtained, which validates the effectiveness and robustness of the proposed proprioception analysis method.Significance.The proposed methods have the potential to be applied in the practical rehabilitation training to improve the rehabilitation efficiency.

The effect of using the hip exoskeleton assistive (HEXA) robot compared to conventional physiotherapy on clinical functional outcomes in stroke patients with hemiplegia: a pilot randomized controlled trial

Trial designThis study is a pilot randomized clinical trial aimed to investigate the effect of using Hip Exoskeleton Assistive (HEXA) robot compared to conventional physiotherapy on the quality of walking, disability, and quality of life of stroke patients with hemiplegia.MethodsIn this study, 24 patients were randomly assigned to the intervention group (robotic physiotherapy with HEXA robot), or control group (conventional physiotherapy). In each session, both groups received 30 min of conventional physiotherapy including electrotherapy and conventional exercises, and then the intervention group did gait training for 30 min with the HEXA robot and the control group for 30 min without the HEXA robot. The treatment program was 12 sessions, 3 times a week. Before the 1st and after the 12th sessions, both groups were evaluated for walking quality, disability, and quality of life.ResultsThe results showed that the main effect of time was significant (P < 0.05) in all outcomes and patients in both groups achieved significant improvement in all outcomes after the intervention. The main effect of the group was also significant in the outcomes of 6MWT (P < 0.05) and TUG (P < 0.05), and the intervention group patients experienced more distance and speed in these two tests. This study was approved by the ethics committee of Mashhad University of Medical Sciences (IR.MUMS.FHMPM.REC.1400.079 dated 28th Jan 2022). The trial was registered with the clinical trials site of www.IRCT.ir (IRCT20210730052024N1) on January 28th 2022.ConclusionIt seems that the HEXA robot can effectively improve walking capacity and speed.

EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection.

The continuous detection of emotional states has many applications in mental health, marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA), a signal modulated by sympathetic nervous system activity, provides continuous insight into emotional states. However, EDA possesses intricate nonstationary and nonlinear characteristics, making the extraction of emotion-relevant information challenging. We propose a novel graph signal processing (GSP) approach to model EDA signals as graphical networks, termed EDA-graph. The GSP leverages graph theory concepts to capture complex relationships in time-series data. To test the usefulness of EDA-graphs to detect emotions, we processed EDA recordings from the CASE emotion dataset using GSP by quantizing and linking values based on the Euclidean distance between the nearest neighbors. From these EDA-graphs, we computed the features of graph analysis, including total load centrality (TLC), total harmonic centrality (THC), number of cliques (GNC), diameter, and graph radius, and compared those features with features obtained using traditional EDA processing techniques. EDA-graph features encompassing TLC, THC, GNC, diameter, and radius demonstrated significant differences (p < 0.05) between five emotional states (Neutral, Amused, Bored, Relaxed, and Scared). Using machine learning models for classifying emotional states evaluated using leave-one-subject-out cross-validation, we achieved a five-class F1 score of up to 0.68.

Total Temporomandibular Joint Replacement: Bridging Current Practice With Innovative Horizons For Oral And Maxillofacial Surgeons

Total temporomandibular joint replacement represents a significant advancement in oral and maxillofacial surgery by addressing the complex issues of temporomandibular joint dysfunction and degeneration. This procedure entails the implantation of a joint customized to the patient’s specific requirements, addressing conditions such as benign and malignant lesions, osteoarthritis, and more severe disorders. Available options range from standard commercial prosthetics to custom designs that leverage high-quality graphics and 3D printing for enhanced fit and functionality. Recent innovations have notably advanced temporomandibular joint surgery, with improvements in integration through information matching and shared processes that boost efficiency and longevity. Additionally, the adoption of minimally invasive techniques and robotic assistance has contributed to shorter recovery times, reduced complications, and increased surgical precision. However, challenges persist. Extended implant times, complications, and the need for ongoing patient care remain significant concerns. Long-term follow-up is crucial for evaluating the effectiveness and durability of new prosthetic designs. The field of temporomandibular joint replacement is rapidly evolving, driven by ongoing research and technological advancements aimed at improving patient outcomes, alleviating pain, and enhancing overall health. This review underscores the need for continuous innovation to address the complexities of integration and to advance patient care in the face of evolving surgical demands.

Comparison of rostral facet joint violations in robotic- and navigation-assisted pedicle screw placement for adult lumbar spine instrumentation

BACKGROUND CONTEXTFacet joint violation by pedicle screws may lead to adjacent-segment disease and postoperative pain. Previous studies have reported the incidence of rostral facet joint violation using various pedicle screw insertion techniques. However, the incidence of facet joint violations with robotic guidance has not been determined. PURPOSETo investigate and compare the incidence of rostral facet joint violation by pedicle screws under robotic guidance and computerized tomography (CT) navigation guidance. STUDY DESIGN/SETTINGRetrospective matched cohort. PATIENT SAMPLEAll patients who underwent robotic-assisted lumbar fusion at a major spine center up until 2023 were retrospectively identified and matched 1:3 to patients undergoing CT navigation guidance based by on age, sex, rostral vertebral level, and length of construct. Inclusion criteria consisted of age greater than 18 years, bilateral pedicle screw fixation, and presence of a postoperative CT scan of the lumbar spine or abdomen/pelvis at any point in the post-operative period. OUTCOME MEASURESRostral facet joint violations. METHODSDescriptive statistics were used to compare cohorts: frequencies, chi-squared analysis for categorical variables, and t-test for continuous variables. RESULTSA total of 408 rostral pedicle screws were implanted in 204 patients (Robot: 102; Navigation: 306). Overall, 13 (12.3%) rostral facet joint violations were observed in the robot cohort and 75 (24.5%) in the navigation cohort (p=.01). Specifically, fewer robotic violations were observed at the L2 (3.5% vs. 32.1%, p=.003) and L3 levels (3.9% vs. 18.1%, p=.08) compared to navigation. No difference was observed at L4 and L5. Bilateral violations are significantly reduced with robotic approaches (5.3% vs. 14.4%, p=.03). Lastly, more facet joint violations were observed during open approaches (robot: 18.8%, navigation: 27.3%) than percutaneous approaches (robot: 11.6%, navigation: 7.1%) in both groups (p<.001). The rate of L4 facet violations was 18.8% in the robotic cohort and 27.3% in the navigation cohort. The rate of L5 facet violations was 31.3% in the robotic cohort and 29.2% in the navigation cohort. CONCLUSIONSUse of robotic assistance in lumbar pedicle screws significantly reduced the rate of rostral facet joint violations compared to navigation guidance at L2 and L3 levels, but not at L4 and L5, with facet violations approaching nearly one-third of the patients at L5 screws. Rostral facet violations can play a significant role in adjacent segment degeneration and disease. Technical factors and trajectory issues likely play a role and addressing these components should minimize unintended facet violation and proximal adding on.

Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

In this article, I propose an ethical analysis of assistive domestic robots for older users. Indoing so, I illustrate my inquiry with the example of ROB-IN assistive robot. ROB-IN is a Spanish project which is devoted to developing a robot that will perform in the private home of nondependent, aged users. It is aimed to help people in their daily activities and contribute to appropriate health monitoring. One of their potentially most useful features is related to data gathering and sharing. For the inquiry on the ethical underpinnings of this case, I develop a framework for domestic assistive robots for competent older adults drawn on the ethics of care. I assess that this type of robots could be ethically appraised attending to their impact on the well-being and autonomy of users. I approach autonomy from a relational perspective, and I delve into the relationship between autonomy and well-being through the concept of paternalism. I argue that this type of assistive robots should never act paternalistically. Given ROB-IN great implications regarding privacy, I subsequently explore the ways in which the privacy of users should be respected in their interaction with assistive robots, focusing on the relation with autonomy and well-being. Lastly, I highlight the need for avoiding ageism. This investigation focuses on aged users, but it is suggested that the situation of caregivers should be also the object of further investigations.

Robot-Assisted Microsurgery—what does the learning curve look like?

The introduction of robotic assistance in surgical practice has led to advancements such as the MUSA-2 robotic system that was designed for microsurgical procedures. Advantages of this system include tremor filtration and motion scaling. Initial studies showed promising results in skill acquisition for robot-assisted microsurgery. This study evaluated the learning curve for microsurgical anastomosis with and without robotic assistance among surgeons of varying experience levels. Fifteen surgeons were divided into 3 groups (novice, intermediate, and expert) based on their microsurgical experience. They performed 10 anastomoses by hand and 10 with robotic assistance on synthetic polyvinyl alcohol vessels (diameter of 2 mm) in a laboratory setting. Participants were timed and mistakes such as backwall and leakage were assessed and recorded. Demographic information was collected. Statistical differences were found in manual anastomosis times between the intermediate and novice groups compared to the experts (p < 0.01). However, no statistical difference was found in the mean time between groups for the robot-assisted anastomoses. Novice doctors had the steepest learning curve for hand-sewn anastomosis. Experts had the fastest completion time at the end of the 10th robotic session, finishing at 14 min, compared to 33 min at the 2nd session. All groups reduced their mean time in half through their 10 robotic sessions. This study indicated similarities in the learning curves for robot-assisted anastomosis among surgeons with varied experience levels. Experts excelled technically in manual anastomoses, but robot-assistance enabled novice and intermediate surgeons to perform comparably to the experts. Robotic assistance may aid more novice learners in performing microsurgical anastomosis safely at earlier points in their education.

Evaluation of social and assistive robotics in geriatric institutions: Dimensions of usability, acceptability and ethics

Evaluation of social and assistive robotics in geriatric institutions: Dimensions of usability, acceptability and ethics

Are micro/nanorobots an effective solution to eliminate micro/nanoplastics in water/wastewater treatment plants?

The extensive production and widespread use of plastic products have resulted in the gradual escalation of plastic pollution. Micro/nano/plastic pollution has become a global issue, and addressing how to “green” remove them is a crucial topic that needs to be tackled at this stage. Recently, micro/nanorobots have offered a promising solution for improving water monitoring and remediation as an environmentally friendly remediation strategy. Micro/nanorobots have been proven to efficiently remove micro/nanoplastics from water bodies. Micro/nanoplastics are captured by micro/nanorobots in water through electrostatic adsorption and electrophoretic interactions, and separation is achieved under the action of an external transverse rotating magnetic field. Their small size enables them to navigate easily in complex environments, while magnetic and optical drives help them move along established routes and reach different areas. With the assistance of these innovative robots, diffusion-limited reactions can be overcome, allowing for active contact with target pollutants. However, research on the removal of micro/nanoplastics by micro/nanorobots is still in its early stages. The dependence on chemical fuels and high costs severely limit the development and application of micro/nanorobots. Micro/nanoplastics are frequently captured by micro/nanorobots, but the degradation efficiency of micro/nanoplastics remains very low. Additionally, the secondary pollution caused by micro/nanorobots is also a key factor limiting their implementation. Although micro/nanorobots are a very promising technology for removing micro/nanoplastics, they still need to be explored in their applications. This paper discusses the opportunities and challenges faced by micro/nanorobots in removing micro/nanoplastics. Development and application of self-driven intelligent micro/nanorobots will help expedite the eco-friendly removal of micro/nanoplastics and other emerging pollutants.

Customer service chatbot enhancement with attention-based transfer learning

Customer service is an important and expensive aspect of business, often being the largest department in most companies. With growing societal acceptance and increasing cost efficiency due to mass production, service robots are beginning to cross from the industrial domain to the social domain. Currently, customer service robots tend to be digital and emulate social interactions through on-screen text, but state-of-the-art research points towards physical robots soon providing customer service in person. This article explores the feasibility of Transfer Learning different customer service domains to improve chatbot models. In our proposed approach, transfer learning-based chatbot models are initially assigned to learn one domain from an initial random weight distribution. Each model is then tasked with learning another domain by transferring knowledge from the previous domains. To evaluate our approach, a range of 19 companies from domains such as e-Commerce, telecommunications, and technology are selected through social interaction with X (formerly Twitter) customer support accounts. The results show that the majority of models are improved when transferring knowledge from at least one other domain, particularly those more data-scarce than others. General language transfer learning is observed, as well as higher-level transfer of similar domain knowledge. For each of the 19 domains, the Wilcoxon signed-rank test suggests that 16 have statistically significant distributions between transfer and non-transfer learning. Finally, feasibility is explored for the deployment of chatbot models to physical robot platforms including “Pepper”, a semi-humanoid robot manufactured by SoftBank Robotics, and “Temi”, a personal assistant robot.

Evaluation of combining daytime structure, lifestyle-monitoring and social companionship in socially assistive robots for gerontechnology

Evaluation of combining daytime structure, lifestyle-monitoring and social companionship in socially assistive robots for gerontechnology

Public perception of socially assistive robots for healthcare in the EU: A large-scale survey

This paper presents the results of a large-scale survey (n = 1092) that explored the attitudes and opinions of European Citizens regarding the adoption of socially assistive robots (SARs) for healthcare in the EU. We examined which functions citizens would support and which they consider a threat to trustworthy SARs. We additionally explored the relationships between the perceived vulnerability of the care recipient and acceptance, between attitudes towards robots and gender, age, religious beliefs, and previous experience interacting with SARs, and whether the degree of responsibility taken in performing a role affects acceptance. We also compared attitudes towards robots across European regions. The functions most negatively rated were triage and banning entrance. Privacy raised particular concern. We also found an inverse correlation between the perceived vulnerability of care recipients and acceptance. Additionally, we found a positive relationship between religious beliefs and fear of robots, a positive relationship between previous robot experience and attitudes towards them, and that females have less positive attitudes towards robots than males. Also, the degree of responsibility in a role determined acceptance. Involving citizens in the decisions concerning SARs deployment is important to build a society that people feel is fair in terms of robot coexistence. The results of the survey intend to provide evidence-based support to policies in this area.

The Development of Conceptual Design of Nurse assistance Robot’s Exterior with Ergonomic Approach

The Development of Conceptual Design of Nurse assistance Robot’s Exterior with Ergonomic Approach

Accessibility in Human Computer Interaction and Human Robot Interaction: A brief review on definitions, developers guidelines, laws and regulations

This paper presents an exploratory study of accessibility in both Human Computer Interaction and Human Robot Interaction focusing on its intersection with interrelated concepts such as usability and inclusive design. It underscores the overreaching goal of these concepts in improving the user experience and provide equal access to all user interfaces, albeit with different targeted user groups. Furthermore, the study presents a short review on main accessibility laws and developers guidelines for both Human Computer Interaction and Human Robot Interaction. The review reveals a remarkable gap in accessibility laws and guidelines for Human Robot Interaction, hence, there is an urgent need to broader initiatives and efforts from authorities, researchers community, and industry stakeholders to formulate and create accessibility laws and developers guidelines pertaining to Human Robot Interaction products, where no such laws or guidelines were found in this study, except an individual initiative by the author, which includes a proposal dedicated to help developer in creating accessible interfaces for Socially Assistive Robots. This paper also discusses some practical challenges in implementing accessibility guidelines in HCI and HRI interfaces.

Design of an IoT-Based Nursing Assistant Robot Using Nodemcu Esp8266 and Blynk

Work as a nurse requires direct contact with patients, for example when carrying drugs or changing IVs. However, since the COVID-19 pandemic, awareness to reduce direct contact with patients is increasingly needed. Moreover, direct contact with patients with infectious diseases, such as covid-19. For this reason, it is necessary to create a tool / robot that can connect nurses and patients, especially patients with infectious diseases. In this study, a robot design and implementation was made that can assist nurses in delivering drugs to patients, without having to make direct contact with patients. IoT-based designed robots using NodeMCU, ESP8266 and Blynk. NodeMCU ESP8266 is used as a data processor and smartphones are used as remote controls via the internet. Data from the smartphone is processed by NodeMCU then sends a signal to the robot actuator via the L298N driver motor to drive the wheels. Furthermore, the internet-connected IP camera is used for live streaming on smartphones through the V380 Pro application as a directional guide. Then to prevent collisions, the ultrasonic sensor HCSR04 will send data to NodeMCU ESP8266 if there is an obstacle at a distance of 30 cm in front of the robot, so that the robot will move backwards. The experimental results show that the robot can run well where the robot is controlled by a nurse using the Blynk IoT application and V380 Pro on a smartphone via internet media. Then the test was carried out with two methods, namely smartphones using the robot's local Wi-Fi connection and smartphones using cellular networks. The results showed that the response time of the application command on the smartphone to the robot or viewing video results from the IP Camera was affected by the condition of the internet network used.

Navigation and 3D-imaging in pelvic ring surgery: a systematic review of prospective comparative studies.

Few literature reviews have been published focusing on navigation, robotic or pre-operative planning using 3D-imaging technology (3D-printing, 3D-planning). To our knowledge, no reviews have been performed to assess and compare all these modalities together versus control groups (conventional fluoroscopy) through high Randomized Control Trials (RCTs) and Prospective Control Studies (PCSs). The aim of this study was to assess and compare 3D-imaging technologies from pre-operative planning to per-operative navigation and robotic in the management of pelvic ring fractures through high level studies. A literature search was performed using PubMed, the Cochrane library and Google scholar using keywords up to December 2023. Only prospective comparative studies (RCT and PCS) were included. A total of 341 articles were identified, 39 articles were selected for full-text analysis leaving 7 articles included in this literature systematic review. A trend towards improved precision in screw placement and reduction of radiation exposure without consequences in term of functional outcomes have been identified. No conclusions can be extrapolated regarding operative time and blood loss except for robotic which improve these parameters because robotic arm assistance help surgeons to correctly follow the planning based on 2D-fluoroscopy. Surgery duration and radiation dose are significantly reduced with robotic-arm assistance for the same reasons. With navigation the results have to be nuanced according to the experience of the surgical team. Interest of navigation is emphasized in sacral dysmorphism in comparison with conventional fluoroscopy. This highlights the benefits of navigation for ilio-sacral screw placement in difficult cases and less experimented teams. High level studies which assess and compare 3D-imaging technologies from pre-operative planning to per-operative navigation and robotic in the management of pelvic ring fractures are low. To date and according to the present high level literature, navigation and 3D-technologies in pelvic ring surgery should be recommended for difficult cases. Systematic review of Level II studies.

Robot-assisted versus traditional fixation for the treatment of calcaneal fractures: a meta-analysis

ObjectiveWith the development of surgical technology, the level of digital medicine is constantly improving. The birth of new technologies has a certain impact on traditional methods. At present, robot-assisted technology has been applied to patients with calcaneal fractures, which poses a challenge to traditional surgery. We aimed to assess whether robot-assisted internal fixation confers certain surgical advantages through a literature review.DesignThe databases PubMed, EMBASE, the Cochrane Library, the China National Knowledge Infrastructure (CNKI), and the Wanfang Data Knowledge Service Platform were systematically searched for both randomized and nonrandomized studies involving patients with calcaneal fractures.Main resultsFive studies were identified that compared clinical indexes. For the clinical indexes, robot-assisted surgery is generally feasible because of intraoperative fluoroscopy, complications, the Gissane angle, the calcaneal width, and the American Orthopedic Foot and Ankle Society (AOFAS) Ankle-Hindfoot score 3 and 6 months after the operation (P < 0.05). However, on the operation time, Böhler’s angle at 3 and 6 months, Gissane angle and calcaneal width at 6 months after the operation did not show good efficacy compared with those of the traditional group (P > 0.05).ConclusionsBased on the current evidence, the advantages of robot-assisted fixation over traditional fixation are clear. The long-term clinical effects of the two methods are also good, and the short-term effect of robot assistance is better. However, the quality of some studies is low, and more high-quality randomized controlled trials (RCTs) are needed for further verification.

Robotics In Gynecology- A Review

This review article focuses on the development of robotics-based operations in the medical field especially in gynecology. The goal of the surgical robot is to improve surgical skills and compensate for human limitations. The robot's performance in performing duties correctly and consistently has been the key to its success. Tubal anastomosis was the first gynecologic surgery performed with Robotic assistance in 2000 followed by first Robotic Hysterectomy in 2002. In 2003 Da Vinci surgical system was developed which was FDA approved for gynecological surgery in 2005. It has gained popularity fast and is already playing a big part in many of the places where it is available. It consists of a high-resolution three-dimensional (3D) vision system adjacent to the patient on a cart with robotic branches. It provides unique technical advancement, with tremor filtration, improved ergonomics and lower muscular load as compared to both laparoscopic and open surgeries. Autonomous camera and energy instrument control, wrist articulation with 7 degree freedom, telestration and dual- console capabilities, overcoming the limitations of conventional laparoscopy, such as counterintuitive hand movements, 2 dimensional visualization, limited degree of motion and tremor amplification. Compared to laparoscopy, robotic assistance has a lower conversion rate to open procedures. Endo wrist movement of an automated machine during myomectomy surgery can perform proper and better suturing than traditional laparoscopy. The automated program is a noticeable improvement over laparoscopic surgery and, if price issues are resolved, can gain popularity among gynecological surgeons around the globe. Not unique to robotic system, the integration of indigo cyanine green fluorescence with the Da Vinci robotic system allows identification of lesions, and assessment of perfusion of bowel and ureter during deep infiltrating endometriosis resection.

Feasibility evaluation of the Versius surgical system: robot-assisted hysterectomy for benign and malignant gynaecological lesions.

The application of minimally invasive surgery allows for radical and precise removal of the gynaecological lesion while simultaneously reducing the side effects and complications associated with surgical treatment. This paper aims to share our direct experience with the implementation of the CMR Versius robotic platform in the treatment of benign and malignant gynaecological lesions. This study included patients who underwent hysterectomy in the Department of Obstetrics, Gynaecology, and Gynaecologic Oncology at the Regional Polyclinical Hospital in Grudziadz, Poland. A total of 50 patients were included in the study: 29 underwent laparoscopic surgery and 21 underwent robot-assisted surgery using the CMR Versius system. It was found that in the case of non-radical hysterectomy, the duration of surgery differed significantly (96.5 vs. 134.6min, p < 0.01) in the groups of patients undergoing laparoscopic and robotic surgery. There were also no statistically significant differences in loss of blood parameters, rate of complications and conversions to other type of surgery after the laparoscopic and robotic surgeries. Both groups did not differ significantly in terms of hospitalisation time after surgery. Versius CMR surgical robot assistance provides safe and effective support for MIS procedures in gynaecology.