Applied Sciences, Volume 14, Issue 10
2024 May-2 - 384 articles
Cover Story: Quality inspection plays a vital role in the current manufacturing practice since the need for reliable and customized products is high on the agenda of most industries. Under this scope, solutions enhancing human–robot collaboration such as voice-based interaction are at the forefront of efforts by modern industries towards embracing the latest digitalization trends. This paper presents a voice-enabled ROS2 framework towards enhancing the collaboration of robots and operators under quality inspection activities. A robust ROS2-based architecture is adopted towards supporting the orchestration of the process execution flow. Furthermore, a speech recognition application and a quality inspection solution are deployed and integrated into the overall system, showcasing their effectiveness using a case study derived from the automotive industry. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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