首页|University of Patras Researchers Discuss Research in Robotics (A Voice-Enabled R OS2 Framework for Human-Robot Collaborative Inspection)

University of Patras Researchers Discuss Research in Robotics (A Voice-Enabled R OS2 Framework for Human-Robot Collaborative Inspection)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Patras, Greece, by NewsRx corresponde nts, research stated, “Quality inspection plays a vital role in current manufact uring practice since the need for reliable and customized products is high on th e agenda of most industries.” Funders for this research include European Commission. The news correspondents obtained a quote from the research from University of Pa tras: “Under this scope, solutions enhancing human-robot collaboration such as v oice-based interaction are at the forefront of efforts by modern industries towa rds embracing the latest digitalization trends. Current inspection activities ar e often based on the manual expertise of operators, which has been proven to be timeconsuming. This paper presents a voice-enabled ROS2 framework towards enhan cing the collaboration of robots and operators under quality inspection activiti es. A robust ROS2-based architecture is adopted towards supporting the orchestra tion of the process execution flow. Furthermore, a speech recognition applicatio n and a quality inspection solution are deployed and integrated to the overall s ystem, showcasing its effectiveness under a case study deriving from the automot ive industry. The benefits of this voiceenabled ROS2 framework are discussed an d proposed as an alternative way of inspecting parts under human-robot collabora tive environments.”

University of PatrasPatrasGreeceEu ropeEmerging TechnologiesMachine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.6)