https://repositori.mypolycc.edu.my/jspui/handle/123456789/6667 2026-06-01T18:34:25Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/9927 Title: V-MODEL BASED INTEGRATION OF MECHATRONICS AND POWER ELECTRONICS FOR A SOLAR-POWERED WIRE-TRAVERSING ROBOT Authors: Mendez-Flores, Efrain; Morales, Diana; Egerstedt, Magnus Abstract: This work focuses on the design of a solar-powered wire-traversing robot for environmental monitoring in remote areas, where solar power harvesting ensures continuous operation without frequent external charging. This paper presents an integrated power electronics design, emphasizing system-level considerations for efficient energy management and enhanced battery life, extending operational time and reliability. Experimental results showed the RaccoonBot could dynamically locate maximum solar exposure with 0.134[mm] resolution, maintain up to 7.5[W] of charging power, and consume just 0.025[A] in standby. These features, combined with the bio-inspired solar-tracking features and fail-safe design, enable over a week of autonomous operation, extending runtime from 5 hours to weeks. The findings validate the V-model’s effectiveness in creating efficient, reliable systems, demonstrated by the RaccoonBot for environmental monitoring. 2025-05-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/9926 Title: INDUSTRIAL METAVERSE FOR SMART MANUFACTURING: MODEL, ARCHITECTURE, AND APPLICATIONS Authors: Ren, Lei; Dong, Jiabao; Zhang, Lin; Laili, Yuanjun; Wang, Xiaokang; Qi, Yue; Li, Bo Hu; Wang, Lihui; Yang, Laurence T.; M. Jamal Deen Abstract: Smart manufacturing has been transforming toward industrial digitalization integrated with various advanced technologies. Metaverse has been evolving as a next-generation paradigm of a digital space extended and augmented by reality. In the metaverse, users are interconnected for various virtual activities. In consideration of advanced possibilities that may be brought by the metaverse, it is envisioned that industrial metaverse should be integrated into smart manufacturing to upgrade industry for more visible, intelligent and efficient production in the future. Therefore, a conceptual model, named IMverse Model, and novel characteristics of the industrial metaverse for smart manufacturing are proposed in this article. Besides, an industrial metaverse architecture, named IMverse Architecture, is proposed involving several key enabling technologies. Typical innovative applications of the industrial metaverse throughout the whole product life cycle for smart manufacturing are presented with insights. Nonetheless, in prospect of future, the industrial metaverse still faces limitations and is far from implementation. Thus, challenges and open issues of the industrial metaverse for smart manufacturing are discussed, then outlook is provided for further research and application. 2024-05-01T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/9925 Title: EMBODIED INTELLIGENCE TOWARD FUTURE SMART MANUFACTURING IN THE ERA OF AI FOUNDATION MODEL Authors: Ren, Lei; Dong, Jiabao; Liu, Shuai; Zhang, Lin; Wang, Lihui Abstract: Embodied intelligence has always been regarded as the ultimate form of artificial intelligence (AI) and an ideal concept for smart manufacturing. With the development of AI foundation models, remarkable generalization capabilities have been achieved in various fields, such as natural language processing and computer vision. In the era of AI foundation models, embodied intelligence will be capable of continuous evolution for unlimited tasks with multimodal physical interaction in the open world. Therefore, it is envisioned that embodied intelligence should be integrated into smart manufacturing to upgrade the industry for more intelligent, flexible, and human-centric manufacturing in the future. Therefore, in this article, the definition and components of embodied intelligence are proposed with its novel characteristics. Besides, the capabilities of embodied intelligence in the era of AI foundation model are discussed. Moreover, typical innovative applications of embodied intelligence throughout the whole product life cycle for smart manufacturing are presented with insights. However, embodied intelligence still faces some challenges for implementation. Thus, in the prospect of future, challenges and outlooks of embodied intelligence are discussed for further research and applications. 2024-08-15T00:00:00Z https://repositori.mypolycc.edu.my/jspui/handle/123456789/9924 Title: EXPLORING THE SYNERGY OF NATURAL FIBER REINFORCEMENT IN COMPOSITE MATERIALS: A STUDY ON JUTE-BASED COMPOSITES USING FINITE ELEMENT ANALYSIS Authors: Vijay Kumar Mahakur; Santosh Kumar; G. Manikanda Raja; A. C. Umamaheshwer; M. L. Brabin Nivas; Mohd Anis Ansari; P. Venkateshwar Reddy Abstract: In recent times, composite components based on natural fibers/fillers are becoming more prevalent owing to their lightweight nature, simplicity of acquisition, environmental sustainability, and enhanced stiffness and strength. Finite Element Analysis (FEA) is implemented in this work to assess the tensile characteristics of jute-based composites at different filler content compositions (0, 2.5, 5, 7.5, 10, and 12.5 wt.%). The study validates the efficacy of FEA in forecasting material changes under various situations by correlating computational results with experimental information using ANSYS R121 software. The findings show that, up to a certain point, the tensile strength of jute particle composites (JPC) increases as the filler content rises; beyond that, a decrease in strength is seen because of a decreased stress transfer efficiency. In applications that need for lightweight and biodegradable materials, the research emphasizes jute's potential as a competitive substitute for synthetic fibers. Additionally, a fifth-order polynomial model is created to calculate composite strength based on strain rates and particle proportions, enabling engineers and researchers to choose and build materials more effectively. This study highlights the importance of natural fiber composites in developing sustainable material solutions for a range of industrial applications and offers insightful information on their mechanical properties. 2025-01-01T00:00:00Z