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  • 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

    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

    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 >

  • Open Access

    PROCEEDINGS

    3D-Printable Centimeter-Scale Tensegrity Structures for Soft Robotics

    Jiacheng Ji1, Boyu Zhang1, Hongying Zhang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-3, 2024, DOI:10.32604/icces.2024.012193

    Abstract Tensegrity metamaterial, well-known for its unique synergy between compressed bars and tensile strings, enable a remarkable deformation and distinctive vibration characteristic [1]. These materials are increasingly recognized for their potential to facilitate advanced locomotion in soft robots. Tensegrity metamaterials, primarily constructed manually, have found applications in large-scale sectors like architecture and aerospace engineering [2]. However, their integration into soft robots necessitates scaling down to a centimeter scale, presenting challenges in automatic prototyping and kinematic simulation to guide the design process [3].
    Recent advancements advocate for 3D-printed tensegrity structures to achieve integrated, one-piece systems [3,4]. Yet,… More >

  • Open Access

    PROCEEDINGS

    4D Printing of Polylactic Acid Hinges: A Study on Shape Memory Factors for Generative Design in a Digital Library Framework for Soft Robotics

    Jiazhao Huang1, Xiaoying Qi1, Chu Long Tham1, Hang Li Seet1, Sharon Mui Ling Nai1, David William Rosen1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012040

    Abstract The emergence of 4D printing introduces stimuli-responsive, shape-changing capabilities through additive manufacturing (AM) and smart materials, has advanced the field of soft robotics. However, there are currently lack of methods or tools that capable of aiding in the generative design of 4D AM structures. The current generative design procedure for 4D AM structures often lacks transferability among various structures due to limited understanding of shape memory material behaviors for soft robotics. To develop such a digital library, investigation of fundamental elements, such as material properties of shape memory materials, geometry parameters of design primitives, and… More >

  • Open Access

    PROCEEDINGS

    FabriCast: Casting Silicone Structures via Direct Ink Writing on Textiles

    J. M. Tan1, A. Chooi2, C. Chen1, A. Castillo Ugalde2, T. Stalin2, T. Calais2, P. Valdivia y Alvarado1,2,3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011827

    Abstract In this study two novel forms of textile-assisted direct ink writing (DIW) of room temperature vulcanised (RTV) silicones were explored: Silicone DIW on spandex fabric, and Silicone DIW on dissolvable fabrics. These processes were evaluated by incorporating resulting components into 4 soft robotic devices: impact resistant elbow pads, a soft passive suction cup gripper, and two fiber embedded inflatable tendril-like soft grippers. More >

  • Open Access

    PROCEEDINGS

    Miura-Origami Soft Robots with Proprioceptive and Interactive Sensing via Embedded Optical Sensors

    Shaowu Tang1, Sicong Liu1,*, Jian S Dai1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011746

    Abstract Origami, a traditional and elegant folding technique, provides a solution for the deformation of three-dimensional structures. Inspired by this, origami-based soft actuators and robots exhibit the advantages of portability, high efficiency, and programmability when performing functions such as locomotion, manipulation, and interaction. However, these deformable origami structures bring challenges to sensing methods and technologies, due to hyperelastic deformations of the soft materials. In this work, a sensing approach is proposed to enable origami robots with proprioceptive and interactive sensing capabilities. The 3D-printed Miura-ori chambers of the robot are embedded with infrared optical sensors (a light-emitting… More >

  • Open Access

    REVIEW

    A Review of the Application of Artificial Intelligence in Orthopedic Diseases

    Xinlong Diao, Xiao Wang*, Junkang Qin, Qinmu Wu, Zhiqin He, Xinghong Fan

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2617-2665, 2024, DOI:10.32604/cmc.2024.047377 - 27 February 2024

    Abstract In recent years, Artificial Intelligence (AI) has revolutionized people’s lives. AI has long made breakthrough progress in the field of surgery. However, the research on the application of AI in orthopedics is still in the exploratory stage. The paper first introduces the background of AI and orthopedic diseases, addresses the shortcomings of traditional methods in the detection of fractures and orthopedic diseases, draws out the advantages of deep learning and machine learning in image detection, and reviews the latest results of deep learning and machine learning applied to orthopedic image detection in recent years, describing… More >

  • Open Access

    ARTICLE

    Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment

    Saeed M. Alshahrani1, Jameel Almalki2, Waleed Alshehri2, Rashid Mehmood3, Marwan Albahar2, Najlaa Jannah2, Nayyar Ahmed Khan1,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1793-1817, 2023, DOI:10.32604/csse.2023.039648 - 28 July 2023

    Abstract Artificial Intelligence (AI) has gained popularity for the containment of COVID-19 pandemic applications. Several AI techniques provide efficient mechanisms for handling pandemic situations. AI methods, protocols, data sets, and various validation mechanisms empower the users towards proper decision-making and procedures to handle the situation. Despite so many tools, there still exist conditions in which AI must go a long way. To increase the adaptability and potential of these techniques, a combination of AI and Bigdata is currently gaining popularity. This paper surveys and analyzes the methods within the various computational paradigms used by different researchers More >

  • Open Access

    ARTICLE

    Acknowledge of Emotions for Improving Student-Robot Interaction

    Hasan Han1, Oguzcan Karadeniz1, Tugba Dalyan2,*, Elena Battini Sonmez2, Baykal Sarioglu1

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1209-1224, 2023, DOI:10.32604/iasc.2023.030674 - 29 April 2023

    Abstract Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artificial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper More >

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