What sensors are needed to ground the core concepts learned by an intelligent robotic agent**? For some time I simply added sensor types as soon as they were available for use***. But in retrospect I believe that essential ones were:
force sensors, accelerometers, temperature sensors, light sensors, color sensors, gas sensors, anemometer, gps sensor, rain/water sensor, microphone and speaker, humidity sensor, voltage sensors, current sensors, ultrasonic and/or IR range finders, line sensor, servo/motor encoders, and neural network preprocessors****.
Combinations and sequences of these raw input signals together form primitive core concepts.
* Rather than symbol grounding.
** Or society of agents.
*** For example, my blog of 1 October 2015.
****Possibly classifying input from cameras.
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