With the development of artificial intelligence and the progress of automation, introducing AI and robotics to participate in waste recycling is discussed over the world. Thanks to the deep learning method, visual recognition allows the sorting robot to contribute almost perfect identification ability if the training set is large enough. However, there are only limited studies focused on introducing AI and robotics to improve the efficiency of construction mixed waste (CMW) disposal.
This study clarifies the current status and challenges of the disposal of CMW, locates the specific disposal process that needs AI and robotics to improve its efficiency, tests the recognition ability of current AI with CMW, and discusses the development roadmap of AI and robotics in the field of CMW disposal.
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