Browsing by Author "Kolahdooz, Amin"
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Item Open Access Advancing Agricultural Practices: Analyzing the Role of Robotics in Corn Farming(Materials and Energy Research Center, 2025-01-25) Moshayedi, Ata Jahangir; Khan, Amin Soheil; Geng, K.; Hu, J.; Kolahdooz, AminThe need for robots in corn farming arises from the complexity and labor-intensive nature of tasks such as planting, weeding, harvesting, and monitoring. Robots offer precision, efficiency, and data-driven decision-making, addressing challenges in resource management, crop health, and productivity to meet the demands of modern agriculture. In this paper, the current landscape of robotics in corn farming, exploring various robotic systems, their functionalities, and their potential impacts on agricultural practices were studied. Additionally, analyzing the benefits and challenges associated with the adoption of robotic technology in corn farming, considering factors such as cost, compatibility with existing infrastructure, and regulatory considerations. Furthermore, the future directions and opportunities for research and development in the field of agricultural robotics, emphasizing the need for interdisciplinary collaboration and innovation to maximize the benefits of robotic technology in corn farming and contribute to sustainable food production are being discussed. The primary focus of this article is to analyze the components and design features of robots employed in our corn fields. This analysis not only serves as a comparison tool for designers but also encourages the development of more diverse designs. The structure of robots in corn farming plays a crucial role in advancing agricultural practices by boosting efficiency, precision, adaptability, data collection capabilities, environmental sustainability, and safety standards.Item Open Access Coating the magnesium implants with reinforced nanocomposite nanoparticles for use in orthopedic applications(Elsevier, 2021-04-15) Qin, Wei; Kolooshani, Amin; Saber-Samandari, Saeed; Khazaei, Saber; Khandan, Amirsalar; Ren, Feng; Toghraie, Davood; Kolahdooz, AminThe use of calcium silicate coatings has extensively increased due to properties such as biocompatibility and proper bioactivity response. The present study was aimed to investigate the bioactivity of wollastonite-hydroxyapatite (WS-HA) bio-nanocomposite for the treatment of orthopedic implant coatings by adding magnetic nanoparticles (MNPs) and single-walled carbon nanotubes (SWCNTs) to the matrix. The bio-nanocomposite was coated on Mg substrate for 40 min at 40 V using electrophoretic deposition (EPD), following which the heat treatment was performed at 550–650 °C for 1 h. The coatings were incubated in simulated body fluid (SBF) and phosphate buffer saline (PBS) for 28 days to detect and confirm apatite-like layer formation Inductively coupled plasma-optical emission spectroscopy (ICP-OES) was used to evaluate the concentration of calcium and silicon ions.Item Open Access Deep learning application pros and cons over algorithm(European Alliance for Innovation (EAI), 2022-02-18) Moshayedi, Ata jahangir; Roy, Atanu Shuvam; Kolahdooz, Amin; Shuxin, YangDeep learning is a new area of machine learning research. Deep learning technology applies the nonlinear and advanced transformation of model abstraction into a large database. The latest development shows that deep learning in various fields and greatly contributed to artificial intelligence so far. This article reviews the contributions and new applications of deep learning. The main target of this review is to give the summarize points for scholars to have the analysis about applications and algorithms. Then review tries to investigate the main applications and uses algorithms. In addition, the advantages of using the method of deep learning and its hierarchical and nonlinear functioning are introduced and compared to traditional algorithms in common applications. The following three criteria should be taken into consideration when choosing the area of application. (1) expertise or knowledge of the author; (2) the successful application of deep learning technology has changed the field of application, such as voice recognition, chat robots, search technology and vision; and (3) deep learning can have a significant impact on the application domain and benefit from recent research with natural language and text processing, information recovery and multimodal information processing resulting from multitasking deep learning. This review provides a general overview of a new concept and the growing benefits and popularity of deep learning, which can help researchers and students interested in deep learning methods.Item Embargo Design And Development of Cost-Effective Exergames For Activity Incrementation(IEEE, 2022-02-21) Moshayedi, Ata jahangir; Sambo, Sithembiso Khaya; Kolahdooz, AminIn the modern era of computing and mobile technology, the human lifestyle is affected by technology, and people are adopting habits that promote sedentary behaviour, including watching TV, playing video games, using computers, and mobile phones, leading to increased periods when people are not actively engaging in physical activity. The combination of Virtual reality and Exergame has been recently introduced and used, and this is a combination that this paper takes an interest in. This research paper shows the design and development of the Happy Child exergame, which, along with the design, the cost of the device has been taken into consideration to be more accessible to the public. Happy Child consists of a mobile application (APP), an Arduino board as the main processor which, with the two types of sensors (Accelerometer and temperature), will send the user data and the players BMI to the user personal computer and after playing each designed game which uses Unity to develop send back to Arduino and store on using the mobile phone. Happy child Design shows the successful implementation and its ability to use as the Exergame to increase people's activity.Item Open Access Design and Development of Foodiebot Robot: from Simulation to Design(IEEE, 2024-01-17) Moshayedi, Ata Jahangir; Roy, Atanu Shuvam; Liao, Liefa; Sohail Khan, Amir; Kolahdooz, Amin; Eftekhari, Seyyed AliThis investigation is centrally focused on the comprehensive evolution and enhancement of FOODIEBOT, an adaptive service automaton with a wide range of functionalities. Its capabilities encompass sophisticated image processing methods, seamlessly integrated via mobile applications (APP) and web interfaces, tailored specifically for intricate object manipulation in dining hall settings. During its developmental phase, the precise calibration of PID controller coefficients emerged as an essential requirement. The model underwent meticulous scrutiny through detailed simulations using MATLAB software. Following this phase, its operational efficiency navigating through circular, elliptical, spiral, and octagonal trajectories underwent rigorous examination, utilizing optimization methodologies like BAS, PSO, POA, and EO. The exposition emphasizes the diverse dispersion of optimized coefficients within each algorithmic framework. The pinnacle of this effort involved a comprehensive evaluation of pathway performance, amalgamating insights from each optimization paradigm. The discussion extensively delineates both simulated and real-time performance metrics of the robot, validating the accuracy and reliability of simulation in deriving PID controller values. In the comprehensive evaluation of methodologies and the robotic system’s effectiveness, the BAS technique excels in operational efficiency. This method consistently outperforms its counterparts in execution time, primarily due to its meticulous optimization of particle count. The comparative analysis across various trajectories reveals intriguing insights. The EO approach showcases outstanding accuracy in Path 1, while the POA method achieves optimal precision in Path 3. Impressively, the BAS technique demonstrates unparalleled accuracy in Path 4. Furthermore, in terms of solution optimization, the BAS method consistently displays the shortest execution times across all traversed pathways. When examining maximum velocity along these routes, the PSO method excels in Paths 1, 3, and 4, consistently achieving the highest speeds. Notably, Path 2 uniquely displays the peak velocity attained by the POA method. This article presents comprehensive insights into the constituent elements of the robotic system’s design. The inquiry delves into the intricate nuances of optimization methodologies, elucidating their profound impact on the service automaton’s performance across diverse orientations. The pragmatic implications underscore the critical role of temporal considerations in the judicious selection of these methodologies. The observed congruence between simulated and practical performance serves as a definitive validation, affirming the precision of simulation computations and the subsequent derivation of PID controller values.Item Embargo Design and promotion of cost-effective IOT-based heart rate monitoring(SPIE, 2022-07-28) Moshayedi, Ata jahangir; Kolahdooz, Amin; Roy, Atanu Shuvam; Latifi Rostami, Seyyed Ali; Xie, XiaoyunThe term telemedicine was first used in the 1920s, although used many years ago and has continued to evolve today. Medical diagnoses usually require visual information, but remote display systems have recently become a special place due to the constant unavailability of the treating physician or the remoteness of medical centers and the constant need of some patients for round-the-clock care. In this article, an Arduino-based heart rate information system is designed and implemented. Due to the reasonable price and easy accessibility of the created system in the fraction, it has many applications. The results of the designed system showed the system's capabilities to track and know the person's heart rateItem Open Access Enhancing Virtual Reality Experiences in Architectural Visualization of an Academic Environment(European Alliance for Innovation (EAI), 2025-01-29) Durojaye, Abiodun; Kolahdooz, Amin; Hajfathalian, AlirezaVirtual Reality (VR) technology possesses the capability to transport users into immersive, alternative environments, providing them with a convincing sense of presence within a simulated world. This project leverages VR to develop an interactive, educational system centered around the De Montfort University (DMU) Queens Building, simulating key facilities and infrastructure through the integration of 360-degree imagery and Adobe Captivate software. Designed in response to contemporary challenges, such as the COVID-19 pandemic, which underscored the need for flexible and innovative learning methodologies, the VR system offers an immersive educational platform enriched with essential information to enhance student engagement and learning outcomes. A comprehensive literature review explored the expanding applications of VR across diverse sectors, including education, healthcare, robotics, and manufacturing. The findings of this review underscored VR's transformative potential in enhancing educational engagement and facilitating a deeper understanding of complex concepts. The project methodology involved meticulously mapping the physical layout of the Queens Building, capturing targeted 360-degree scenarios using a Ricoh Theta V camera, and subsequently transforming these into immersive VR scenarios enriched with interactive hotspots, meticulously synchronized with the building's design layout. The VR system successfully achieved the project's objectives by simulating key educational and informational use cases. It provides students with an alternative learning medium, offering interactive insights into the functionalities of equipment and facilities within the building. Furthermore, the system enables a virtual tour of the DMU campus, facilitating familiarization with the university environment. Findings from the VR application highlight its potential as a dynamic educational tool, positioning it as a valuable complement to traditional learning methods. This innovative approach demonstrates the capacity of VR to enhance student understanding, support academic and research pursuits, and ultimately enrich the overall student experience.Item Embargo Gentle Survey on MIR Industrial Service Robots: Review & Design(Islamic Azad University, Najafabad Branch, 2021-05-07) Moshayedi, Ata jahangir; Xu, Ge; Liao, Leifa; Kolahdooz, AminService robots are one of the most critical robot's applications that enter human life. This domain consists of elements from human health to industry. Somehow, this robot type can save a human's life or help him secure from the load-carrying job and all repeated work that may interfere with job accuracy. Based on ISO 8373:2012 The service robots Split into personal service types of robots characteristically meant to use outside of manufacturing and the professional setting robots and professional service robots that can use as non-commercial individuals professional service robots can use as commercial professionals. Even as the service robot development research has shown various new service robots with specific ability proposed, some parts in these robot types are similar and are day by day extended. MIR and AGV robots are the most famous service robot with dual ability in the industry and the home applicant. This paper covers most of the papers published on the MIR platform to address the detailed design and part of these types, which can be useful for industries and researchers. The most significant thing that has been done through this review is a service robot design. On the other hand, the researcher has more investigation on the service robot application and has study the MIR Industrial/service robot platform.Item Open Access Immersive Horizons: Exploring the Transformative Power of Virtual Reality Across Economic Sectors(European Alliance for Innovation (EAI), 2023-06-09) Durojaye, Abiodun; Kolahdooz, Amin; Nawaz, Abdullah; Moshayedi, Ata JahangirThe scholarly discourse surrounding the manifold advantages, applications, and limitations of implementing Virtual Reality (VR) in the contemporary milieu has burgeoned over time. VR holds immense potential, attracting fervent interest from governmental and private entities alike. Nevertheless, the existing body of literature pertaining to the expanding utilization of VR in diverse economic sectors remains scant. Therefore, the primary objective of this study is to furnish a comprehensive literature review encompassing VR applications across various economic domains while elucidating concerns surrounding its integration within engineering education. A total of 108 publications were extracted from prominent databases such as Scopus, Elsevier, Science Direct, and Google Scholar, with a subsequent review of 51 relevant works. These scrutinized journals were published between 2015 and 2022 and were predominantly authored in English. The reviewed publications encompassed VR applications in education, robotics, healthcare, transportation, sports, agriculture, governance, security, and media. The study’s findings unveiled significant advancements in VR implementation within engineering education, medical training, cognitive augmentation, aircraft assembly, governance, and diverse other spheres. Notwithstanding these achievements, impediments to VR deployment were identified, stemming from financial exigencies, cultural and conventional norms, with scant evidence of VR’s prevalence in underdeveloped nations, given that all the assessed research originated from developed economies. Additionally, the limitations of this review encompassed a small sample size and a narrowly focused demographic in the examined articles. Nevertheless, despite these constraints, the research highlights substantial progress in VR utilization over the preceding decade.Item Embargo Indoor UAV Object Detection Algorithms On Three Processors: Implementation Test And Comparison(IEEE, 2023-01-06) Zarei, Mohammad; Moshayedi, Ata Jahangir; Zhong, Yangwan; Khan, Amir Sohail; Kolahdooz, Amin; Emadi Andani, MehranNowadays Unmanned aerial vehicles (UAV) are used in various applications. One of the domains that they are recently hired on is remote sensing applications which they should detect and identify the object. Till today various algorithms are proposed but among them SIFT, SURF, ORB and BRISK are more famous but based on the author's resources their performance over the different processors with the same target image is not reported before which is aimed at this research paper. The mentioned algorithms are implemented on three types of hardware, Raspberry Pi3, Odroid C2, and Intel NUC, which were selected based on their availability and different applications in the robotic system. In order to compare the images of a common object, the common UAV structure was designed that can carry all the processors to different heights. Python programming language and OpenCV machine vision library have been used to implement each algorithm. After going through the described calibration steps, the performance of each algorithm in terms of accuracy and processing time on each processor with three cases of rotation modes, the scale and deviation are compared and analyzed based on the image obtained from the drone camera. The results obtained in this research show that the Intel NUC processor has a good processing time in all four algorithms, and the maximum accuracy for all cases of rotation, scale and skew belongs to SIFT. In addition to the mentioned comparison, due to the importance of the weight of accessories, a parameter called TW is defined to show the relationship between processing time and processor mass and the results are reported. The obtained results show that the algorithm's performance result in Raspberry Pi3 and Odroid C2 is very close and inferior to the Intel Nuc processor. But TW for Odroid C2 has even better results than Intel Nuc, which can interest UAV designers and professionals who need to use lightweight drones in remote sensing applications.Item Open Access Investigation of the Effect of Gas Pressure Forming Parameters on Mold Filling and Sheet Thickness Distribution(Iranian Journal of Mechanical Engineering Transactions of ISME, 2021-06) Kolahdooz, Amin; Aminian Dehkordi, SasanNew forming processes should be capable of manufacturing complex and high quality components in addition to low production costs and high production speeds. The gas pressure forming process is one of the methods used in forming these parts. In this research, the formation of Al-A356 alloy sheet in incomplete cone with gas pressure process has been studied numerically and experimentally. In general, it can be said that the purpose of this study is to investigate the effect of parameters such as the ratio of diameter to height of the die, angle, temperature and pressure. In order to determine the effect of parameters, filling the corners of the die and distributing the thickness of the parts under different pressures has been investigated. Also, for simulating validation, the simulation results were first compared with experimental tests. The results show that the mold filling will improve around 15% by increasing the pressure from 1 bar to 8 bar. However, is reduced to less than 0.5 mm. Although, the mold filling increased by decreasing of the ratio of diameter to height but the critical thickness of the sheet is decreased around 14%. It was also found that for having a proper mold filling, it is necessary to increase the pressure value around 25% when the cone angle decrease from 30º to 0º. The results also showed that by increasing the temperature from 350°C to 550°C, the required pressure for filling the mold decreased from 8 to 2 bar.Item Open Access Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process(Inderscience, 2022-02-22) Damavandi, Esmaeil; Kolahdooz, Amin; Shokoohi, Yousef; Latifi Rostami, Seyyed Ali; Tabatabaei, Sayed MohamadbagherCutting parameters and factors should be selected wisely to increase the quality of a product. Therefore, the optimisation of the deep drilling process was investigated by utilising the Taguchi method on three materials by three different tools. The influences of cutting speed and workpiece temperature are investigated on machining power, surface roughness and tool wear. The results revealed that the application of preheating could provide lower power consumption and a relatively good finished surface. In continuation, analysis of variance demonstrated that all factors are effective, but the workpiece material and speed are the most influential parameters on surface roughness and power consumption, respectively. Workpiece material influenced about 72.24% on machining performance, and its effect was more than tool material (3.64%). For machining power, the effect of speed (55.41%) was higher than others. The preheating and lower speeds reduced tool wear of titanium coated and cobalt coated drills.Item Open Access Optimization and comparative analysis of an AISD suspension system with inerter element for enhanced ride and handling(Sage, 2024-05-23) Ridal, Reda; Keshavarzi, Ahmad; Armansyah; Harmanto, Dani; Kolahdooz, AminThis paper presents a comprehensive study on the modeling and optimization of an advanced suspension system, known as the Air Springs Inerter-Spring-Damper (AISD) system, incorporating an inerter element. A linear quarter car model is utilized to analyze the vibrational behavior of the AISD system when subjected to harmonic road disturbances. The steady-state response of the system is investigated by deriving the root mean square (RMS) values of the absolute relative displacement and acceleration of the sprung mass. To optimize the quarter car model, a criterion based on minimizing the absolute acceleration RMS while considering the relative displacement RMS is employed to calculate the inerter coefficient. The performance of the AISD suspension system is compared to that of both conventional quarter car systems and traditional air quarter car systems, with a focus on ride comfort and handling. The results demonstrate that the proposed AISD system outperforms the other two suspension systems, exhibiting a significant improvement in ride quality. Specifically, the AISD system achieves a 45% enhancement over the air suspension and an 82% improvement over the classic suspension system.Item Metadata only Optimization of air suspension system for improved ride and handling performance in road vehicles dynamic(Universitas Muhammadiyah Magelang, 2024-12-15) Armansyah; Keshavarzi, Ahmad; Kolahdooz, Amin; Rizal, Reda; Destri Mardhani, MuhammadThis study focused on the optimization of air suspension systems (ASs) for road vehicles concerning on-ride and handling criteria. A quarter DOF vehicle model is used in this study to develop an optimized system based on nonlinear equations. The extracted equations are then linearized and transformed into dimensionless form to gain insights into the system's behavior. By employing the Root-Mean-Square (RMS) method, the dimensionless equations are utilized to optimize the system parameters focused on stability and ride comfort. The five main components are attached in the model which consisted of the sprung mass (SM), unsprung mass (USM), gas spring (GS), auxiliary reservoir (AR), and orifice (O). The optimization procedure involved adjustment to the orifice resistance coefficient, air spring volume, air spring area, and auxiliary volume using the RMS-based method. Simulation analysis revealed the superior performance of the RMS-optimized system in both ride quality and handling. The study concludes by emphasizing the advantages of utilizing the RMS method for optimizing air suspension, resulting in decreased sprung mass acceleration and enhanced handling qualities. Selecting the appropriate design point for the suspension system based on the method outlined in this article can ensure both stability and comfort in the vehicle simultaneously.Item Open Access Robots in Agriculture: Revolutionizing Farming Practices(European Alliance for Innovation (EAI), 2024-06-20) Moshayedi, Ata Jahangir; Khan, Amir Soheil; Yang, Yingo; Hu, Jiandong; Kolahdooz, AminRobotics for farming is a game changer for economy and sustainability. Agricultural robots automateactivities and help solve industrial difficulties. These robots are designed for precise planting, weeding,and harvesting, automating labor-intensive procedures. Implementing these practices improves productivity,reduces operating costs, and minimises environmental impact by optimising resource use. This researchexamines the various processes and designs used in agricultural robotic structures to understand theirfunctionality. This study delves into the intricate structure of agricultural robots, highlighting the technicalwonders that enable precision farming. From articulated arms to autonomous unmanned aircraft, the studyexplores a variety of robot designs and their roles in automating jobs crucial to contemporary agriculture.Item Open Access Robust Topology Optimization of Continuum Structures under the Hybrid Uncertainties: A Comparative Study(Periodica Polytechnica Civil Engineering, 2023-03-28) Latifi Rostami, Seyyed Ali; Li, Muxi; Kolahdooz, Amin; Chung, Hayoung; Zhang, JianDue to the inevitable involvement of multisource uncertainties related to the load, material property and geometry in practical engineering designs, robust topology optimization (RTO) has recently attracted increasing attention to account for these uncertain effects. However, the majority of the existing RTO works are concerned with single source uncertainty, and very few studies have considered the multisource (hybrid) uncertainties simultaneously. To this end, a comparative study on the hybrid uncertainties (HU), i.e., material-loading, geometric-loading, material-geometric, and material-geometric-loading uncertainties, for RTO of continuum structures is presented in this paper. A truncated Karhunen-Loeve expansion is adopted for uncertainty representation and a sparse grid collocation method for uncertainty propagation of the objective function and constraints. Effects of the various HU on the compliance and robust design are comprehensively investigated and compared with the RTO models under individual component uncertainty using two continuum benchmarks. An important observation from the results is that the hybrid uncertainty model is a conservative state, and the resulting RTO designs tend towards those with loading uncertainty only.Item Open Access Robust topology optimization of continuum structures with smooth boundaries using moving morphable components(Springer, 2023-05-10) Latifi Rostami, Seyyed Ali; Kolahdooz, Amin; Chung, Hayoung; Shi, Maolin; Zhang, JianTopology optimization has been increasingly used in various industrial designs as a numerical tool to optimize the material layout of a structure. However, conventional topology optimization approaches implicitly describe the structural design and require additional post-processing to generate a manufacturable topology with smooth boundaries. To this end, this paper proposes a novel robust topology optimization approach to produce an optimized topology with smooth boundaries directly. A truncated Karhunen–Loeve expansion and a sparse grid collocation method are integrated with the explicit moving morphable components method for uncertainty representation and propagation, respectively. The performance of the proposed method is assessed on three numerical examples of continuum structures under loading and material uncertainties through comparison with several robust topology optimization approaches. Results show that the proposed method is superior to the benchmark methods in terms of the balance among robustness of the objective function, boundary smoothness, and computational efficiency.Item Embargo Robust topology optimization of piezoelectric actuators under uncertainties in material properties(IOP Publishing, 2025-05-20) Latifi Rostami, Seyyed Ali; Kolahdooz, Amin; Lim, Hyoung Jun; Chung, HayoungActuators designed using piezoelectric materials are widely used in micro-robotic systems. Although topology optimization is a systematic design approach with the potential to conceive a novel piezoelectric actuator, the optimality of the design cannot be guaranteed unless the material uncertainties resulting from complex fabrication are considered. Therefore, this study presents the optimal design of a piezoelectric actuator and investigates the impact of uncertainties on the designed layout. Specifically, this study introduces material uncertainties through Young's modulus and the piezoelectric coefficient individually and concurrently, thus facilitating a comprehensive exploration of design robustness. The density-based topology optimization method used in this study incorporates the spatial distribution of material densities and polarities within the domain. To evaluate the robustness of the results of the proposed method, a thorough comparison with the Monte Carlo method (MC) results was conducted, revealing not only the robustness of the designed layouts but also enhanced computational efficiency.Item Open Access Robust topology optimization under material and loading uncertainties using an evolutionary structural extended finite element method(Elsevier, 2021-09-01) Latifi Rostami, Seyyed Ali; Kolahdooz, Amin; Zhang, JianThis research presents a novel algorithm for robust topology optimization of continuous structures under material and loading uncertainties by combining an evolutionary structural optimization (ESO) method with an extended finite element method (XFEM). Conventional topology optimization approaches (e.g. ESO) often require additional post-processing to generate a manufacturable topology with smooth boundaries. By adopting the XFEM for boundary representation in the finite element (FE) framework, the proposed method eliminates this time-consuming post-processing stage and produces more accurate evaluation of the elements along the design boundary for ESO-based topology optimization methods. A truncated Gaussian random field (without negative values) using a memory-less translation process is utilized for the random uncertainty analysis of the material property and load angle distribution. The superiority of the proposed method over Monte Carlo, solid isotropic material with penalization (SIMP) and polynomial chaos expansion (PCE) using classical finite element method (FEM) is demonstrated via two practical examples with compliances in material uncertainty and loading uncertainty improved by approximately 11% and 10%, respectively. The novelty of the present method lies in the following two aspects: (1) this paper is among the first to use the XFEM in studying the robust topology optimization under uncertainty; (2) due to the adopted XFEM for boundary elements in the FE framework, there is no need for any post-processing techniques. The effectiveness of this method is justified by the clear and smooth boundaries obtained.Item Open Access Simulation and Control of the KUKA KR6 900EX Robot in Unity 3D: Advancing Industrial Automation through Virtual Environments(European Alliance for Innovation (EAI), 2025-03-20) Ajayakumar Sujatha, Anand; Kolahdooz, Amin; Jafar, Mohammadreza; Hajfathalian, AlirezaThis study presents the development of a virtual simulation of a KUKA robot within the Unity 3D platform, focusing on its ability to execute pick-and-place operations in an industrial setting. The research emphasizes the importance of digital simulations as cost-effective and safe alternatives to physical prototypes in industrial automation. By replicating robotic tasks in a virtual environment, organizations can mitigate wear and tear on expensive machinery and minimize safety hazards inherent in real-world operations. The simulation process commenced with the creation of a detailed 3D model of the KUKA robot utilizing Creo CAD software. This model was subsequently imported into the Unity 3D environment, where an interactive and realistic simulation environment was constructed. A manual control system was implemented through custom C# scripts, enabling precise joint manipulation via keyboard inputs. While the current control mechanism remains manual, this study provides a foundational framework for the future integration of advanced algorithms for trajectory planning and autonomous control. The simulation successfully demonstrates the feasibility of performing industrial robotic tasks within a virtual environment. It serves as a platform for further research, including the automation of robotic movements and the integration of virtual reality and digital twin technologies. These advancements have the potential to significantly enhance real-time monitoring, operator training, and overall operational efficiency in industrial applications. This work underscores the growing significance of virtual simulation technologies in industrial automation, presenting a scalable and flexible solution for prototyping, testing, and training within complex industrial ecosystems.