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Area of Science:

  • Environmental Science
  • Robotics
  • Sensor Technology

Background:

  • Increasing automation in environmental monitoring necessitates greater autonomy for field robots.
  • Robot payload capacity is a critical factor for comprehensive environmental analysis, requiring a balance between lab size, weight, complexity, and robot autonomy.
  • Current technology limitations in autonomous battery charging cycles further emphasize the need for efficient mobile laboratory designs.

Purpose of the Study:

  • To develop a microcontroller-based architecture for a mobile laboratory control system.
  • To design a system adaptable for both aerial and aquatic mobile robotic platforms.
  • To reduce the physical footprint of mobile laboratories for enhanced robotic deployment.

Main Methods:

  • Development of a microcontroller-based control system architecture.
  • Design for integration onto aerial and aquatic mobile robotic vectors.
  • Evaluation of system adaptability for diverse sensor types and configurations.

Main Results:

  • The proposed microcontroller-based system architecture is adaptable for various sensor configurations.
  • The system significantly reduces the space required compared to existing embedded products.
  • The design is suitable for deployment on both aerial and aquatic mobile platforms.

Conclusions:

  • A versatile and compact mobile laboratory control system can be achieved using a microcontroller-based architecture.
  • This approach offers a scalable solution for environmental monitoring robots, improving payload efficiency.
  • The system's adaptability supports diverse sensing needs in pollution monitoring across different environments.