Robotics / Research
Robotic indoor environmental sensing
Connecting robot movement, sensor readings, and spatial context.
My role: ROS 2 & Python developer
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The challenge
Indoor conditions vary across a space. Repeatable mobile collection helps study patterns beyond a fixed sensor location.
My approach
Built a ROS 2 and Python workflow that follows predefined movements, stops at selected points, collects sensor readings, and saves timestamped records.
The result
A robot-based environmental data collection workflow supporting indoor environmental monitoring research.