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This study presents a mobile robotics architecture for navigating complex industrial environments. The system utilizes 3D printing for modular construction and advanced sensors for obstacle avoidance, enhancing robotic capabilities.

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Area of Science:

  • Robotics and Automation
  • Additive Manufacturing

Background:

  • Additive manufacturing and modular construction are increasingly vital in global markets, particularly where traditional manufacturing is limited.
  • Robotic systems require complex integration of sensorics, mechanics, electronics, and programming for advanced functionalities.

Purpose of the Study:

  • To develop a mobile robotics architecture with a sensory system enabling free movement and navigation.
  • To enable robots to navigate collaborative, closed industrial environments with both static and dynamic obstacles.

Main Methods:

  • Utilized additive manufacturing (3D printing) for modular robotic component construction.
  • Integrated a sensory system for robot perception and navigation.
  • Implemented closed-loop inverse kinematics for controlled movement.
  • Employed navigation algorithms for trajectory planning in confined industrial settings.

Main Results:

  • Successfully developed a mobile robotic architecture capable of autonomous navigation.
  • The system demonstrated effective movement and trajectory execution in simulated closed industrial environments.
  • The sensory system facilitated navigation around both fixed and moving obstacles.

Conclusions:

  • The developed mobile robotics architecture, leveraging 3D printing and advanced sensorics, is suitable for navigating complex industrial environments.
  • This approach facilitates the construction and deployment of robots in specialized, restricted settings.
  • The system offers a viable solution for collaborative robotics in industrial manufacturing and logistics.