Citation:

Shashank Pasupuleti, 2023. "Model-Based Systems Engineering (MBSE) for the Design and Integration of Complex Robotics Systems" ESP Journal of Engineering & Technology Advancements 3(3): 126-132.

Abstract:

In recent years, Model-Based Systems Engineering (MBSE) has gained significant traction as a methodology for addressing the increasing complexity of engineering systems. MBSE emphasizes the use of modeling languages, such as SysML and UML, to support the design, simulation, testing, and integration of complex systems. This research paper explores the application of MBSE for the design and integration of complex robotics systems, focusing on the tools, techniques, and benefits of MBSE in the robotics domain. We investigate the challenges associated with subsystem integration, standardization, scalability, and real-time simulation. Furthermore, we propose a novel framework that integrates MBSE with robotics development tools like ROS and RTOS, enhancing collaboration, simulation, and real-time control. Through a detailed analysis of case studies in autonomous vehicles, industrial robotics, and healthcare robotics, this paper presents how MBSE can streamline system development and improve the reliability, safety, and efficiency of robotics systems.

References:

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Keywords:

Model-Based Systems Engineering (Mbse), Robotics, Subsystem Integration, Sysml, Uml, Real-Time Simulation, Robotics Frameworks, Ros, Rtos, Autonomous Vehicles, Industrial Robotics, Healthcare Robotics, Robotics Design, Mbse Application, Integration Challenges, Simulation, Modeling Languages, Aerospace, Automotive, Defense Industries, Sysml, Modelica, Matlab/Simulink, Ros, Rtos, Control Algorithms, Sensor Integration, Real-Time Decision-Making, Simulation, Robotics Development Tools.