首页|School of Engineering and Sciences Researcher Adds New Findings in the Area of Robotics (Integration of Deep Learning and Collaborative Robot for Assembly Tasks)
School of Engineering and Sciences Researcher Adds New Findings in the Area of Robotics (Integration of Deep Learning and Collaborative Robot for Assembly Tasks)
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Fresh data on robotics are presented in a new report. According to news reporting originating from the School of Engineering and Sciences by NewsRx correspondents, research stated, “Human-robot collaboration has gained attention in the field of manufacturing and assembly tasks, necessitating the development of adaptable and user-friendly forms of interaction.” Financial supporters for this research include Tecnologico De Monterrey, Vicerrectory of Research And Technology Transfer. Our news journalists obtained a quote from the research from School of Engineering and Sciences: “To address this demand, collaborative robots (cobots) have emerged as a viable solution. Deep Learning has played a pivotal role in enhancing robot capabilities and facilitating their perception and understanding of the environment. This study proposes the integration of cobots and Deep Learning to assist users in assembly tasks such as part handover and storage. The proposed system includes an object classification system to categorize and store assembly elements, a voice recognition system to classify user commands, and a hand-tracking system for close interaction. Tests were conducted for each isolated system and for the complete application as used by different individuals, yielding an average accuracy of 91.25%.”
School of Engineering and SciencesEmerging TechnologiesMachine LearningRobotRobotics
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