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When a sensor device is packaged together with a CPU, it is called a “smart sensor.” The sensors really become smart when the tight integration of sensing and processing results in an adaptive sensing system that can react to environmental conditions and consistently deliver useful measurements to a robotic system even under the harshest of the conditions. We illustrate this point with an example from our recent work on illumination‐adaptive algorithm for dynamic range compression that is well suited for an on‐chip implementation resulting in a truly smart image sensor. Our method decides on the tonal mapping for each pixel based on the signal content in pixel's local neighborhood.

Reports on the 31st International Symposium on Robotics, May 14‐17, 2000, Montreal, Canada. Teleoperation and automated remote operation dominated a high technology conference which included many new developments for the application of robotic technology.

Blending sensor theory and practice, and with a commercial market reckoned to be huge, robotic vision is currently a ‘hot topic’. Here, Professor Mike Brady, explains the advanced research being pursued.