Compressing data for teleoperation. Human in the loop requires images that can be used to adapt to changing reaction times and decision making in coordination with very remote devices. Technical.
PICO: Pragmatic Compression for Human-in-the-Loop Decision-Making by Siddharth Reddy, Berkeley Bair
Imagine remotely operating a Mars rover from a desk on Earth. The low-bandwidth network connection can make it challenging for the teleoperation system to provide the user with high-dimensional observations like images. One approach to this problem is to use data compression to minimize the number of bits that need to be communicated over the network: for example, the rover can compress the pictures it takes on Mars before sending them to the human operator on Earth. Standard lossy image compression algorithms would attempt to preserve the image's appearance. However, at low bitrates, this approach can waste precious bits on information that the user does not actually need in order to perform their current task. For example, when deciding where to steer and how much to accelerate, the user probably only pays attention to a small subset of visual features, such as obstacles and landmarks. .... '
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