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This article discusses the use of an optimal parameter finding algorithm based on SAC to improve the performance of conventional PID controllers in controlling a grinding robot for constant force grinding under changing environmental conditions. The algorithm is shown to be effective in achieving constant force grinding in both simulation and experimental settings.
