Integration of Simulators and Industrial Robotics: Advances in Online Programming Training and Efficiency

Integration of Simulators and Industrial Robotics: Advances in Online Programming Training and Efficiency Abstract Industrial robotics plays a central role in Industry 4.0, demanding increasingly efficient training methods and programming strategies. This study presents a narrative integrative review of the contributions of Rafael Rosenberg Santos in the field of online programming of industrial robots, focusing on the Pegasus system, CAD 3D planning, CAPRON simulator and CARPA platform. The results demonstrate the potential of simulation environments to reduce programming time, improve task execution, and foster active learning in engineering education. The analysis highlights the relevance of hybrid approaches, combining computational tools and robotics, as key drivers of innovation in industrial training and production. Keywords : Industrial robotics; Online programming; simulation; Engineering education; Industry 4.0. Introduction The fourth industrial revolution, known as Industry 4.0, is characterized by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence into production processes. In this context, industrial robotics plays a strategic role, contributing to significant gains in productivity, quality, and safety. However, these advances pose significant challenges for professional training and the implementation of programming methodologies that combine precision, speed, and operational flexibility. Traditionally, industrial robot programming requires considerable in-person training time and high laboratory equipment costs. This reality limits the wider adoption of robotic solutions in small and medium-sized companies and hinders the introduction of students to advanced automation practices. Therefore, there is a need for tools that enable realistic and accessible simulations, allowing users to experience complex situations in virtual environments before field application. Digital simulators, 3D CAD platforms, and online programming support systems represent concrete responses to these challenges. In addition to reducing errors and increasing execution efficiency, these resources expand the democratization of knowledge, offering more inclusive learning environments aligned with the demands of Industry 4.0. In this context, the contributions of Rafael Rosenberg Santos and his colleagues stand out, developing and implementing innovative solutions such as the Pegasus robot, the use of 3D CAD in operations planning, the CAPRON simulator, and the CARPA system. These initiatives, analyzed together, provide insights into how the integration of simulation, teaching, and industrial practice can transform both engineering training and production efficiency in automated environments. Literature Review and Contributions 2.1 Online Programming with the Pegasus Robot Initial research on the Pegasus robot focused on online programming and the factors that directly influence task execution time. The study demonstrated that variables such as the order of instructions, parameter configuration, and the sequence of programmed movements significantly impact the robot's efficiency in a production environment. In addition to contributing to reduced operating time, the research demonstrated gains in agility and reliability, fundamental elements for industrial processes that demand repeatability and precision (SANTOS et al., 2016). These findings show that, in highly competitive industrial settings, small variations in programming methods can result in significant differences in performance. Thus, Pegasus has established itself as an experimental platform capable of translating theory into practice, while also enabling detailed analysis of critical factors for robot programming. 2.2 Planning via 3D CAD Subsequently, another study expanded the scope of the research by incorporating the use of 3D CAD tools into the planning of assembly operations with Pegasus. The objective was to verify whether virtual modeling could optimize programming and reduce execution errors. The results showed that prior simulation in a CAD environment not only allows for the anticipation of collisions and geometric inconsistencies but also favors the selection of more efficient trajectories, ensuring greater savings in time and resources (SANTOS et al., 2017a). Furthermore, the use of 3D CAD has proven to be a valuable teaching resource, as it allows students or operators to visualize the process in detail before practical implementation. This feature contributes to the development of more prepared engineers, capable of integrating virtual modeling and robotics synergistically. 2.3 CAPRON – Teaching Simulator The need for more accessible teaching resources led to the development and evaluation of CAPRON (Computer Aided Programming for Robots On-Line), a digital simulator designed for learning robot programming. The study found that using CAPRON allows students greater autonomy while reducing dependence on sophisticated and expensive laboratory infrastructure. The results indicated that the simulation contributes to more active, interactive, and contextualized learning, bringing students closer to the situations faced in automated industries (SANTOS et al., 2018). From a pedagogical perspective, CAPRON represents a significant advance, as it expands the democratization of access to robotics practices. With it, learning is not restricted to the physical laboratory space but extends to virtual environments, in line with the principles of Education 4.0. 2.4 CARPA System The CARPA (Computer Aided Robotics and Positioning Applications) system was developed to apply advanced simulation concepts and real-time positioning of RC servomotors, in addition to exploring Assur's virtual chains in CIM-Mecatrime. Studies have shown that the tool can integrate mechanical theory, 3D CAD modeling, and practical experimentation, constituting an innovative resource for both research and teaching (SANTOS et al., 2017b; SANTOS et al., 2017c). CARPA's main contribution is its ability to combine different engineering disciplines—such as mechanics, automation, and IT—in a single environment, enabling more complex analyses that reflect industrial reality. This feature reinforces its usefulness both as a teaching tool, providing multidisciplinary learning experiences, and as a platform for applied research in automation. Discussion The combined analysis of the contributions highlights a clear methodological evolution in robotics programming, which has moved away from relying exclusively on in-person practices to adopting hybrid models supported by digital simulation, 3D CAD modeling, and online programming platforms. This transition reflects not only technological advances but also a paradigm shift in the way engineers are trained and industrial processes are planned. From an industrial point of view, the gains are significant and multifactorial: Reduction in programming time, a crucial element for competitiveness, as it reduces production costs and accelerates the delivery of results; Prevention of errors and collisions, ensuring greater operational safety and equipment integrity, a factor with a direct impact on economic sustainability; Standardization of processes, with greater control over critical variables, ensuring repeatability and reliability in production flows. In the educational field, the results are also transformative: Expanded access to hands-on learning, as digital simulation reduces the need for expensive laboratory infrastructure; Development of digital skills aligned with Industry 4.0, preparing professionals to use automation, simulation, and systems integration tools; Effective integration between theory and practice, bringing academic curricula closer to industrial reality and promoting more contextualized learning experiences. In summary, such evidence reinforces the importance of consolidating a hybrid education for engineers, in which industrial robotics transcends its role as a technical discipline and establishes itself as a field of pedagogical innovation, applied research, and social transformation. In this model, the engineer ceases to be merely a task executor and becomes a critical and creative agent, capable of integrating multiple technologies in the design of solutions for industry. 4.0. Conclusion The research analyzed demonstrates that the integration of digital simulators, 3D CAD systems, and experimental platforms, such as Pegasus and CARPA, represents a significant advance for online programming in industrial robotics. Such solutions not only improve operational efficiency, reducing time and costs, but also constitute highly relevant tools for engineering education, by democratizing access to cutting-edge technologies that would otherwise be restricted to highly specialized environments. At the industrial level, the results demonstrate gains in productivity, safety, and process standardization. In the academic sphere, the practical and digital training of future engineers is strengthened, as they gain exposure to innovative methodologies aligned with the demands of Industry 4.0. This dual contribution reveals the transformative potential of robotics when combined with pedagogical strategies based on simulation and virtual modeling. The future of this field points to promising challenges and opportunities: conducting multicenter comparative trials to validate the effectiveness of simulators in different contexts; incorporating artificial intelligence as a resource for autonomous optimization of trajectories and processes; and consolidating hybrid pedagogical models that prepare professionals capable of acting not only as executors, but also as critical and