Hello, I'm working on a robotics project and I'm trying to figure out how to ensure I select sensors that can operate stably in different environments. Is there a general approach to understanding the pros and cons of each sensor type? For example, should I prioritize measurement accuracy or environmental durability? What methods stand out for different application scenarios?
Sensor selection methods in robotic projects
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I also struggled with almost the same issue last year while developing an autonomous cleaning robot. Since the project required it to work in both dusty and humid environments, I initially started with simple infrared sensors, but soon realized that these sensors were too sensitive to light changes and heavy dust. Then I switched to a laser distance sensor; while the accuracy improved, it required constant recalibration in humid conditions. When I tried ultrasonic sensors, I noticed they were more resistant to environmental conditions, but they were fragile against impacts and could easily break.
In the end, I ended up adding different sensors for each application, creating multiple backup systems. For example, I preferred ultrasonic sensors for environmental conditions, while using an IMU (Inertial Measurement Unit) for precise motion detection. The system now works smoothly, but I had no trouble swapping out sensors one by one during the early trials. Actually, balancing accuracy and durability according to the project's requirements is crucial in the selection process.