Autonomous Mobile Robot for Warehous Industries

Developed an AMR prototype with autonomous navigation in indoor environments.

This project demonstrates the design and implementation of an Omni-Wheeled Autonomous Mobile Robot (AMR) tailored for automating repetitive and time-intensive warehouse operations. The solution integrates cutting-edge robotics, SLAM technologies, and efficient hardware to embody the principles of Industry 4.0.

Hardware and Mechanical Design

Components Utilized:

  • Raspberry Pi 4B: Acts as the central processing unit for controlling navigation and decision-making.
  • 360 degree LiDAR Sensor: Facilitates environment scanning for mapping and obstacle detection, ensuring efficient path planning.
  • Omni-Wheels: Provide multidirectional mobility, enabling the robot to maneuver smoothly in tight and dynamic warehouse environments.
  • Motor Drivers: Control wheel movement, translating navigation commands into precise actions.
  • Power System: A 2200mAh Li-ion battery ensures sustained operation, stabilized by power regulators for consistent performance.

Mechanical Construction:

  • The robot was designed with a focus on structural durability and modularity, simplifying maintenance and component replacement.
  • Integration of URDF models and 3D drawings allowed for simulation testing of robot movement and behavior prior to physical deployment.

Software Integration

Simultaneous Localization and Mapping (SLAM):

  • SLAM algorithms enable the robot to construct detailed indoor maps and localize itself within the environment. This is critical for real-time path planning and navigation.
  • The LiDAR sensor provides high-resolution environmental data for precise mapping.
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Path Planning and Navigation:

  • Real-time pathfinding algorithms guide the robot efficiently between locations, avoiding static and dynamic obstacles.
  • Integrated control systems ensure smooth transitions and accurate alignment during operations. Interfacing and Communication:

Potential Applications

  • Warehousing: Automating goods movement and inventory management.
  • Manufacturing: Streamlining material handling between production stages.
  • Healthcare: Transporting medical supplies in large facilities.

This project highlights the transformative potential of robotics in industry, particularly for small-scale businesses looking to embrace automation.