This technology uses a camera to identify target substances on the floor and operates a learning mode that adjusts speed and suction intensity compared to the normal mode to determine the threshold speed and suction intensity required to remove specific substances. It is an algorithm that automatically switches to an optimized calibration mode when the same substance is detected, thereby controlling cleaning efficiency.
Existing cleaning robots operate at a constant speed and suction intensity without considering the environment or the characteristics of specific substances, leading to residual debris and reduced energy efficiency.
This technology applies a control logic that extracts threshold values by sequentially performing a normal mode and a learning mode (variable speed/intensity) during the Nth cleaning cycle, and dynamically switches to a calibration mode suitable for the target substance identified by the camera during the N+1th cleaning cycle. Applicable to industrial robots and automation systems, it improves cleaning efficiency and optimizes operation by learning the optimal movement speed and suction intensity for different target materials through unsupervised learning.
N/A