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  • Open Access

    ARTICLE

    Continuous Monitoring of Multi-Robot Based on Target Point Uncertainty

    Guodong Yuan1,*, Jin Xie2

    Journal on Artificial Intelligence, Vol.7, pp. 1-16, 2025, DOI:10.32604/jai.2025.061437 - 14 March 2025

    Abstract This paper addresses the problem of access efficiency in multi-robot systems to the monitoring area. A distributed algorithm for multi-robot continuous monitoring, based on the uncertainty of target points, is used to minimize the uncertainty and instantaneous idle time of all target points in the task domain, while maintaining a certain access frequency to the entire task domain at regular time intervals. During monitoring, the robot uses shared information to evaluate the cumulative uncertainty and idle time of the target points, and combines the update list collected from adjacent target points with a utility function More >

  • Open Access

    REVIEW

    Particle Swarm Optimization: Advances, Applications, and Experimental Insights

    Laith Abualigah*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1539-1592, 2025, DOI:10.32604/cmc.2025.060765 - 17 February 2025

    Abstract Particle Swarm Optimization (PSO) has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields. This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications, but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms. Covering six strategic areas, which include Data Mining, Machine Learning, Engineering Design, Energy Systems, Healthcare, and Robotics, the study demonstrates the versatility and effectiveness of the PSO. Experimental results are, however, used to show the strong and More >

  • Open Access

    ARTICLE

    KD-SegNet: Efficient Semantic Segmentation Network with Knowledge Distillation Based on Monocular Camera

    Thai-Viet Dang1,*, Nhu-Nghia Bui1, Phan Xuan Tan2,*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2001-2026, 2025, DOI:10.32604/cmc.2025.060605 - 17 February 2025

    Abstract Due to the necessity for lightweight and efficient network models, deploying semantic segmentation models on mobile robots (MRs) is a formidable task. The fundamental limitation of the problem lies in the training performance, the ability to effectively exploit the dataset, and the ability to adapt to complex environments when deploying the model. By utilizing the knowledge distillation techniques, the article strives to overcome the above challenges with the inheritance of the advantages of both the teacher model and the student model. More precisely, the ResNet152-PSP-Net model’s characteristics are utilized to train the ResNet18-PSP-Net model. Pyramid… More >

  • Open Access

    REVIEW

    Control Structures and Algorithms for Force Feedback Bilateral Teleoperation Systems: A Comprehensive Review

    Jiawei Tian1, Yu Zhou1, Lirong Yin2,*, Salman A. AlQahtani3, Minyi Tang4, Siyu Lu4, Ruiyang Wang4, Wenfeng Zheng3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 973-1019, 2025, DOI:10.32604/cmes.2024.057261 - 27 January 2025

    Abstract Force feedback bilateral teleoperation represents a pivotal advancement in control technology, finding widespread application in hazardous material transportation, perilous environments, space and deep-sea exploration, and healthcare domains. This paper traces the evolutionary trajectory of force feedback bilateral teleoperation from its conceptual inception to its current complexity. It elucidates the fundamental principles underpinning interaction forces and tactile exchanges, with a specific emphasis on the crucial role of tactile devices. In this review, a quantitative analysis of force feedback bilateral teleoperation development trends from 2011 to 2024 has been conducted, utilizing published journal article data as the… More >

  • Open Access

    REVIEW

    A Comprehensive Review of Next-Gen UAV Swarm Robotics: Optimisation Techniques and Control Strategies for Dynamic Environments

    Ghulam E Mustafa Abro1,*, Ayman M Abdallah1,2, Faizan Zahid3, Saleem Ahmed4

    Intelligent Automation & Soft Computing, Vol.40, pp. 99-123, 2025, DOI:10.32604/iasc.2025.060364 - 23 January 2025

    Abstract This review synthesises and assesses the most recent developments in Unmanned Aerial Vehicles (UAVs) and swarm robotics, with a specific emphasis on optimisation strategies, path planning, and formation control. The study identifies key methodologies that are driving progress in the field by conducting a comprehensive analysis of seven critical publications. The following are included: sensor-based platforms that facilitate effective obstacle avoidance, cluster-based hierarchical path planning for efficient navigation, and adaptive hybrid controllers for dynamic environments. The review emphasises the substantial contribution of optimisation techniques, including Max-Min Ant Colony Optimisation (MMACO), to the improvement of convergence… More >

  • Open Access

    ARTICLE

    Unmasking Social Robots’ Camouflage: A GNN-Random Forest Framework for Enhanced Detection

    Weijian Fan1,*, Chunhua Wang2, Xiao Han3, Chichen Lin4

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 467-483, 2025, DOI:10.32604/cmc.2024.056930 - 03 January 2025

    Abstract The proliferation of robot accounts on social media platforms has posed a significant negative impact, necessitating robust measures to counter network anomalies and safeguard content integrity. Social robot detection has emerged as a pivotal yet intricate task, aimed at mitigating the dissemination of misleading information. While graph-based approaches have attained remarkable performance in this realm, they grapple with a fundamental limitation: the homogeneity assumption in graph convolution allows social robots to stealthily evade detection by mingling with genuine human profiles. To unravel this challenge and thwart the camouflage tactics, this work proposed an innovative social… More >

  • Open Access

    RESIDENT’S CORNER

    Rapid onset severe hyperkalemia during robotic radical cystectomy: a case report

    Matthew Buell, Brian Hu

    Canadian Journal of Urology, Vol.31, No.5, pp. 12026-12029, 2024

    Abstract Radical cystectomy is a preferred treatment for muscle invasive bladder cancer. Despite known complications, rapid onset, severe hyperkalemia necessitating abortion of surgery has not been reported. In this case report, a patient with end stage renal disease (ESRD) undergoing attempted cystectomy developed severe intraoperative hyperkalemia and acidosis that led to abortion of surgery and transfer to the medical intensive care unit for emergent hemodialysis. The multifactorial etiology was related to respiratory acidosis, ESRD, patient positioning, clipping of ureters, and body habitus, as well as an idiopathic element. Knowledge of hyperkalemia etiologies can assist in diagnosis More >

  • Open Access

    HOW I DO IT

    Practical, cost-effective removal of Hem-o-lok Weck clip: a novel technique

    Braden Rolig1, James A. Brown2

    Canadian Journal of Urology, Vol.31, No.5, pp. 12019-12021, 2024

    Abstract The Hem-o-lok Weck clip is part of a polymer locking ligation system often employed for hemostasis in surgical practices. Its use is routine in a wide array of surgical subspecialties. Surgeons have limited options in removing these clips when they are aberrantly positioned.
    Herein, we describe a novel, cost-effective approach for removing a Hem-o-lok clip using standard robotic instruments. This simple approach will allow surgeons to remove a Hem-o-lok clip precisely and quickly if it is not adequately placed.
    During a routine robotic-assisted laparoscopic prostatectomy a Hem-o-lok Weck clip was noted to be in juxtaposition to… More >

  • Open Access

    RESIDENT’S CORNER

    Robotic-assisted laparoscopic pyelolithotomy in a horseshoe kidney

    Stephanie Aron, Anthony Galvez, Ryan Nasseri, Susana Berrios, Tyler Sheetz

    Canadian Journal of Urology, Vol.31, No.6, pp. 12077-12080, 2024

    Abstract Nephrolithiasis is one of the most common indications for surgery in patients with a horseshoe kidney. Robotic assisted surgery has become a staple in urologic practice, yet its application in stone management is largely undefined. We present a patient with a horseshoe kidney, who underwent a robotic-assisted laparoscopic pyelolithotomy (RPL) to treat a 3 cm stone burden. This procedure allowed for safe access that could not be obtained with percutaneous nephrolithotomy (PCNL) and stone removal without fragmentation, which would have been challenging with traditional laparoscopy. We advocate for the use of robotic-assisted laparoscopic pyelolithotomy in More >

  • Open Access

    ARTICLE

    Single-port robotic laparoscopic ureterocalicostomy: surgical technique and clinical outcomes

    Alex J. Xu1, Jeffery S. Lin1, Po Yen Chen2, Samuel Carbunaru1, Yeonsoo S. Lee3, Lee C. Zhao1

    Canadian Journal of Urology, Vol.31, No.6, pp. 12072-12076, 2024

    Abstract Introduction: We describe a method of robotic ureterocalicostomy (RALUC) with the Da Vinci Single Port (SP) platform and present clinical outcomes in our cohort of patients.
    Materials and methods: We retrospectively reviewed all patients undergoing RALUC with the SP platform in a single-institution, IRB-approved database between 2020 2023. Demographics, preoperative, intraoperative, and postoperative outcomes were collated. Surgical success was defined as freedom from hardware, avoidance of additional surgical reconstruction, and no obstruction on follow up imaging/ureteroscopy.
    An incision is made 1/3rd the distance from anterior superior iliac spine to the umbilicus. The retroperitoneal space is entered and SP… More >

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