Ambient intelligence application based on environmental measurements performed with an assistant mobile robot

Area of Science:

• Robotics and Environmental Monitoring
• Ambient Intelligence Systems

Background:

• Traditional environmental monitoring in large indoor spaces is often inefficient and lacks real-time data.
• Developing intelligent systems for automated environmental control is crucial for comfort and efficiency.

Purpose of the Study:

• To propose and demonstrate an autonomous mobile robot system for comprehensive indoor environmental monitoring.
• To develop an ambient intelligence application for analyzing sensor data and enabling corrective actions.

Main Methods:

• Utilizing a high-performance autonomous mobile robot equipped with embedded sensors for data collection.
• Geo-referencing environmental data including temperature, air velocity, orientation, and gas concentration.
• Implementing data analysis algorithms to detect anomalies and discrepancies in environmental measurements.

Main Results:

• Successful detection and precise location of an uncomfortable temperature profile within a research facility office.
• Demonstration of localized ambient measurements and subsequent analysis for targeted corrective actions.
• Validation of the autonomous robot's capability to support ambient intelligence applications.

Conclusions:

• Autonomous mobile robots offer an effective solution for detailed indoor environmental monitoring.
• The developed system can identify and help rectify environmental comfort issues, paving the way for smarter buildings.
• This approach integrates sensing, analysis, and actuation for advanced ambient intelligence.