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Purpose The purpose of the present study was to determine the incidence of revision and report on clinical outcomes at a minimum of 10 years follow-up in patients who had received a medial unicompartmental knee arthroplasty (UKA) with an three-dimensional image-based robotic system. Methods A total of 239 patients (247 knees), who underwent medial robotic-arm assisted (RA)-UKA at a single center between April 2011 and June 2013, were assessed. The mean age at surgery was 67.0 years (SD 8.4). Post-operatively, patients were administered the Forgotten Joint Score-12 (FJS-12) and asked about their satisfaction (from 1 to 5). Post-operative complications were recorded. Failure mechanisms, revisions and reoperations were collected. Kaplan–Meier survival curves were calculated, considering revision as the event of interest. Results A total of 188 patients (196 knees) were assessed at a mean follow-up of 11.1 years (SD 0.5, range 10.0–11.9), resulting in a 79.4% follow-up rate. Seven RA-UKA underwent revision, resulting in a survivorship rate of 96.4% (CI 94.6%–99.2%). Causes of revision included aseptic loosening (2 cases), infection (1 case), post-traumatic (1 case), and unexplained pain (3 cases). The mean FJS-12 and satisfaction were 82.2 (SD 23.9) and 4.4 (SD 0.9), respectively. Majority of cases (174/196, 88.8%) attained the Patient Acceptable Symptoms State (PASS, FJS-12 > 40.63). Male subjects had a higher probability of attaining a “forgotten joint” ( p  < 0.001) and high satisfaction (equal to 5, p  < 0.05), when compared to females. Conclusions Three-dimensional image-based RA-UKA demonstrated high implant survivorship and good-to-excellent clinical outcomes at minimum 10 years follow-up. Pain of unknown origin represented the most common reason for RA-UKA revision. Level of evidence III.

The Tactile Internet enables physical touch to be transmitted over the Internet. In the context of electronic medicine, an authenticated key agreement for the Tactile Internet allows surgeons to perform operations via robotic systems and receive tactile feedback from remote patients. The fifth generation of networks has completely changed the network space and has increased the efficiency of the Tactile Internet with its ultra-low latency, high data rates, and reliable connectivity. However, inappropriate and insecure authentication key agreements for the Tactile Internet may cause misjudgment and improper operation by medical staff, endangering the life of patients. In 2021, Kamil et al. developed a novel and lightweight authenticated key agreement scheme that is suitable for remote surgery applications in the Tactile Internet environment. However, their scheme directly encrypts communication messages with constant secret keys and directly stores secret keys in the verifier table, making the scheme vulnerable to possible attacks. Therefore, in this investigation, we discuss the limitations of the scheme proposed by Kamil scheme and present an enhanced scheme. The enhanced scheme is developed using a one-time key to protect communication messages, whereas the verifier table is protected with a secret gateway key to mitigate the mentioned limitations. The enhanced scheme is proven secure against possible attacks, providing more security functionalities than similar schemes and retaining a lightweight computational cost.

When using manipulator to grasp and assemble thin and fragile components, they are prone to breakage due to factors such as the morphology error of the workpiece. In response to this issue, a cantilevered assembly robotic arm with dual passive compliance is proposed. Firstly, the operational process of the robotic arm grasping the fragile precursor ring for synthetic diamond synthesis is introduced, analyzing potential errors during assembly. Guidelines for designing a robotic arm structure with dual passive compliance are proposed, and the design process of the key component of the robotic arm, the compliant ring, is detailed. Secondly, to investigate the response of the robotic arm during operation, a 3D model of the robotic arm is constructed and imported into ADAMS software for simulation analysis, obtaining stress on the workpiece and forces and deformations on the compliant ring during the assembly process. Simulation results indicate that when there is a pose deviation between the thin and fragile component and the mating die, the designed robotic arm structure can adjust its gripping pose through adaptive deformation and successfully complete the assembly. Finally, a corresponding experimental prototype of the robotic arm is designed and manufactured for practical assembly experiments, demonstrating the correctness of the research results.

Objective We investigated the advantages of robotic arm‐assisted total knee arthroplasty (raTKA) over conventional manual TKA (cmTKA) by comprehensively comparing patients who received raTKA and cmTKA in terms of postoperative pain, function, imaging assessment, and trauma to the body. This study investigated the efficacy and safety of raTKA in patients using the YUANHUA‐TKA system. Methods In a prospective, randomized single‐blind trial, 60 patients undergoing primary unilateral TKA from October 2020 to December 2020 were randomly assigned to either raTKA or cmTKA. Clinical evaluation, including the time of osteotomy and prosthesis model testing, the total operation time, the visual analogue scale at rest, VAS in motion, opioid consumption, white blood cell count, neutrophil ratio, erythrocyte sedimentation rate, C‐reactive protein (CRP), passive and active range of motion (pROM, aROM), Western Ontario and McMaster Universities Arthritis Index (WOMAC [stiffness, pain, and function]) score, gait analysis, keen society score (KSS), adverse events, and blood loss were collected by the project nurse, as well as the imaging evaluation, including the lateral tibia component angle (LTC), frontal femoral component angle, frontal tibia component angle (FTC), lateral femoral component angl, and hip–knee–ankle angle (HKA). The student t‐test (or the Wilcoxon signed‐rank test) and the χ2‐test (or the Fisher exact test) were used to determine differences in categorical variables. Results No significant difference was found between the two groups in pain throughout the whole follow‐up period. On the third day postoperatively, the erythrocyte sedimentation rate in the cmTKA group was significantly higher (p = 0.02), as well as the CRP (p = 0.04). No significant difference was found in the WOMAC stiffnes score or pROM. However, the aROM and the flexion range when walking (FRW) were significantly better in the raTKA group throughout the trial (p < 0.05). The KSS at the 1‐month follow‐up and the WOMAC function score at the 1‐year follow‐up were both significantly better in the raTKA group (p < 0.05). The HKA and the LTC in the raTKA group closer to the ideal angle, and the difference between the groups was significant (p < 0.05). The total operation time of the raTKA group was significantly longer (p = 0.001). The intraoperative blood loss had no significant difference in the two groups. Conclusion Compared with cmTKA, raTKA with the YUANHUA robot not only avoids extra pain and trauma in patients but promises better functional recovery and improves the accuracy of the prosthesis position and axial alignment reconstruction. YUANHUA‐TKA is a semi‐active robotic arm system. This robotic arm‐assisted total knee arthroplasty (raTKA) system was authorized for clinical practice by the Chinese National Medical Products Administration in 2020. Compared with MAKO, YUANHUA‐TKA has several advantages. First, the robotic arm of YUANHUA‐TKA has a much smaller volume, which can save space in the operating room, giving the surgeons much more room to operate. Second, the robotic arm of YUANHUA‐TKA has one more axle than MAKO, providing a much more flexible operation. In terms of the cost, YUANHUA‐TKA not only has a much lower acquisition cost but also a lower operating cost because of the rigid driver, rather than the cable driver of MAKO. In this study, we investigated the safety and clinical effectiveness of raTKA using the YUANHUA‐TKA system.

Objective A robotic system was recently introduced to improve prosthetic alignment during total knee arthroplasty (TKA). The purpose of this multicenter, prospective, randomized controlled trial (RCT) was to determine whether robotic‐arm‐assisted TKA improves clinical and radiological outcomes when compared to conventional TKA. Methods One hundred and thirty patients who underwent primary TKA were enrolled in this prospective, randomized controlled trial, which was conducted at three hospitals. Five patients were lost to follow‐up 6 weeks after surgery. Therefore, 125 participants (63 in the intervention group and 62 in the control group) remained in the final analysis. The primary outcome was the rate at which the mechanical axis of the femur deviated by less than 3° from the mechanical axis of the tibia. This was evaluated by full‐length weight‐bearing X‐rays of the lower limb 6 weeks postoperatively. Secondary outcomes included operation times, 6‐week postoperative functional outcomes evaluated by the American Knee Society score (KSS) and the Western Ontario and McMaster Universities osteoarthritis index (WOMAC), short form‐36 (SF‐36) health survey results, and the occurrence of adverse events (AEs) and serious adverse events (SAEs). Results At 6 weeks postoperatively, we found that the rate of radiographic inliers was significantly higher in the intervention group (78.7% vs 51.6%; p = 0.00; 95% confidence interval, 10.9% to 43.2%). The operation was significantly longer in the intervention group than in the control group (119.5 vs 85.0 min; p = 0.00). There were no significant differences in the 6‐week postoperative functional outcomes, SF‐36, AEs, and SAEs between the two groups. There were no AEs or SAEs that were determined to be “positively related” to the robotic system. Conclusion Robotic‐arm‐assisted TKA is safe and effective, as demonstrated in this trial. The purpose of this multicenter prospective randomized controlled trial was to determine whether robotic‐arm‐assisted total knee arthroplasty (TKA) improves clinical and radiological outcomes when compared to conventional TKA. According to the results of the study, robotic‐arm‐assisted TKA is safe and effective, as demonstrated in this trial.

Segmentation of demonstration trajectories and learning the contained motion primitives can effectively enhance the assistive robot's intelligence to flexibly reproduce learnt tasks in an unstructured environment. With the aim to conveniently and accurately segment demonstration trajectories, a novel demonstration trajectory segmentation approach is proposed based on the beta process autoregressive hidden Markov model (BP‐AR‐HMM) algorithm and generalised time warping (GTW) algorithm aiming to enhance the segmentation accuracy utilising acquired demonstration data. This approach first adopts the GTW algorithm to align the multiple demonstration trajectories for the same task. Then, it adopts the BP‐AR‐HMM algorithm to segment the demonstration trajectories, acquire the contained motion primitives, and establish the related task library. This segmentation approach is validated on the 6‐degree‐of‐freedom JACO robotic arm by assisting users to accomplish a holding water glass task and an eating task. The experimental results show that the motion primitives within the trajectories can be correctly segmented with a high segmentation accuracy.

Objective The volume based procurement (VBP) program in China was initiated in 2022. The cost‐effectiveness of robotic arm assisted total knee arthroplasty is yet uncertain after the initiation of the program. The objective of the study was to investigate the cost‐effectiveness of robotic arm‐assisted total knee arthroplasty and the influence of the VBP program to its cost‐effectiveness in China. Methods The study was a Markov model‐based cost‐effectiveness study. Cases of primary total knee arthroplasty from January 2019 to December 2021 were included retrospectively. A Markov model was developed to simulate patients with advanced knee osteoarthritis. Manual and robotic arm‐assisted total knee arthroplasties were compared for cost‐effectiveness before and after the engagement of the VBP program in China. Probability and sensitivity analysis were conducted. Results Robotic arm‐assisted total knee arthroplasty showed better recovery and lower revision rates before and after initiation of the VBP program. Robotic arm‐based TKA was superior to manual total knee arthroplasty, with an increased effectiveness of 0.26 (16.87 vs 16.61) before and 0.52 (16.96 vs 16.43) after the application of Volume‐based procurement, respectively. The procedure is more cost‐effective in the new procurement system (17.13 vs 16.89). Costs of manual or robotic arm‐assisted TKA were the most sensitive parameters in our model. Conclusion Based on previous and current medical charging systems in China, robotic arm‐assisted total knee arthroplasty is a more cost‐effective procedure compared to traditional manual total knee arthroplasty. As the volume‐based procurement VBP program shows, the procedure can be more cost‐effective. As the volume based procurement (VBP) program initiated, cost‐effectiveness of Robotic arm‐assisted total knee arthroplasty (RA‐TKA) remains unclear in China. The study compared the cost‐effectiveness of RA‐TKA with conventional manual TKA in a Markov decision model. RA‐TKA remains cost‐effective before and after the initiation of VBP program.

In this study, we tackle a key scheduling problem in a robotic arm-based food processing system, where multiple conveyors—an infeed conveyor that feeds food items to robotic arms and two tray lane conveyors, on which trays to batch food items are placed—are implemented. The target scheduling problem is to determine what item on an infeed conveyor belt is picked up by which robotic arm at what position, and on which tray the picked up item will be placed. This problem involves critical constraints, such as sequence-dependent processing time and dynamic item and tray positions. Moreover, due to the speed of the infeed conveyor and latency in the information about entering items into the system, this scheduling problem must be solved in near real time. To address these challenges, we propose a scheduling solution that first decomposes the original scheduling problem into sub-problems, where a sub-problem formulated as a goal program schedules robotic arms only for a single tray. The performance of the proposed solution approach is then tested under a simulation environment, and from the experiments, the proposed approach produces acceptable performance.

The research of robotics needs a good and accurate control. The proposed concept is touch less and non-verbal communication with the use of leap motion controller. The concept has two major parts: first part is “device perceive hand finger moments and send signal”, second part is robotic hand interfaced with PIC microcontroller which receives signal and controls robotic hand. The paper aims to link virtual environment with real time environment. The virtual environment is consisting of leap motion controller and laptop, real time environment is consisting of microcontroller and robotic arm. In real time environment parodist is converts into virtual environment.

The 4 degree of freedom robot arm of a table tennis robot has a variety of trajectories. In order to improve the response and the success rate of the shots, we used the joint space trajectory planning method to establish a kinematic model with the robot arm joints as variables, and by combining it with the robot arm kinematics, we obtained the relevant parameters for each joint of the robot arm. Simulation tests and physical tests were carried out to obtain a more accurate trajectory of the robot arm.