Abstract: An interaction method for a mobile robot comprises: acquiring map data information of a space in which a mobile robot is located, and acquiring real-time environment perception data collected by an environment perception sensor, the real-time environment perception data comprising real-time obstacle information, and real-time indication information for indicating a road condition around the mobile robot; acquiring target traveling path information of the mobile robot on the basis of the real-time obstacle information and the map data information, and determining a ground projection region according to the target traveling path information and the real-time indication information; acquiring a pattern to be projected, and determining a projection parameter corresponding to said pattern, wherein said pattern is used for indicating a traveling intention of the mobile robot; and controlling a projection apparatus according to the projection parameter, so as to project said pattern onto the ground projection region

Abstract: Various examples of methods and systems are provided for approximate message passing with universal denoising. In one example, a method includes applying an approximate message passing (AMP) conversion framework to a plurality of substantially linear measurements to produce a plurality of scalar measurements; applying a denoiser algorithm to the plurality of scalar measurements to generate a plurality of denoised scalar measurements; and applying a conversion term to the plurality of denoised scalar measurements to convert the plurality of denoised scalar measurements to a plurality of denoised substantially linear measurements.

Abstract: Various examples of methods and systems are provided for approximate message passing with universal denoising. In one example, a method includes applying an approximate message passing (AMP) conversion framework to a plurality of substantially linear measurements to produce a plurality of scalar measurements; applying a denoiser algorithm to the plurality of scalar measurements to generate a plurality of denoised scalar measurements; and applying a conversion term to the plurality of denoised scalar measurements to convert the plurality of denoised scalar measurements to a plurality of denoised substantially linear measurements.