INTELLIGENT SOFTWARE FOR CONTROLLING ROBOTIC SYSTEMS USING VIRTUAL MODELING
Keywords:
Keywords: Mobile Robot, Intelligent Control Software, CoppeliaSim, Autonomous Navigation, Simulation, Human-Robot Interface.Abstract
Abstract: In the evolving landscape of robotics and automation, the need for
intelligent software that enables autonomous, adaptive, and efficient robot behavior is
becoming increasingly vital. This research explores the design and development of
intelligent control software for mobile robotic systems, emphasizing virtual modeling
and simulation as key tools in the development process. Utilizing the CoppeliaSim Edu
environment, a three-wheeled mobile robot was modeled, simulated, and equipped
with multiple sensory modules including infrared proximity sensors, color detection
units, and timing mechanisms. The robot operates in both manual and autonomous
modes and is governed by a custom-designed user interface that allows real-time
parameter adjustments, path planning, and command sequencing. The simulation
environment not only provides a low-cost, safe, and flexible platform for testing and
analysis but also serves as a bridge between theoretical algorithm development and
practical robotic deployment. The robot's behavior was governed by mathematical
models that consider sensor feedback for dynamic navigation, wall-following, and
obstacle avoidance. The system's performance was evaluated using visual trajectory
analysis, tabulated motion parameters, and sensor response graphs. The findings
demonstrate the viability of using virtual prototyping as a core part of robotic system
design, allowing for rapid iteration and refinement. Moreover, the modular architecture
of the system supports further integration with machine learning techniques such as
reinforcement learning, enabling advanced autonomous behavior. This research
contributes to the growing field of intelligent mechatronic system design and provides
a strong foundation for continued exploration in both academic and industrial settings.
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