Systems and methods for autonomous process control and optimization of semiconductor equipment using light interferometry and reflectometry

Abstract

At least one laser sensor and a controller are embedded into a substrate processing system communicating with a remote big data and machine learning server receiving/sending data from/to a fleet of substrate processing systems for autonomous process control and optimization. The laser sensor is arranged proximate to a region of the substrate processing system and is configured to capture first data from at least one of an edge coupling ring and a semiconductor substrate transported from/to the processing chamber to/from the region. The controller is configured to receive the first data from the laser sensor, process the first data to generate second data, transmit the second data to a remote server via a network, receive third data from the remote server via the network in response to sending the second data to the remote server, and operate the substrate processing system based on the third data for process optimization.