Dynamic range compression

About

Dynamic range compression refers to the process of reducing the span between the highest and lowest values in a signal, dataset, or physical quantity to make it more manageable for transmission, processing, or actuation systems. In robotics and AI, this technique appears across multiple domains: in wireless communication systems, it compresses high-dimensional sensor data to enable efficient transmission over bandwidth-limited networks such as 5G; in multi-robot coverage tasks, it reduces the complexity of environmental information shared between agents; and in wearable soft robotics, it modulates physical compression forces applied to the body in response to real-time physiological feedback. Flexible pressure sensors also leverage microstructural design to compress wide pressure ranges into readable electrical signals. The technique matters because real-world robotic systems must handle enormous variability in inputs and outputs while operating under strict constraints on bandwidth, power, and computational resources. By intelligently narrowing dynamic ranges, engineers can preserve the most actionable information while reducing system overhead, enabling more responsive, reliable, and scalable autonomous systems.