首页|New Robotics Data Have Been Reported by Investigators at State University of New York (SUNY) Buffalo (A Review of Prospects and Opportunities In Disassembly With Human-robot Collaboration)
New Robotics Data Have Been Reported by Investigators at State University of New York (SUNY) Buffalo (A Review of Prospects and Opportunities In Disassembly With Human-robot Collaboration)
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New research on Robotics is the subject of a report. According to news reporting out of Buffalo, New York, by NewsRx editors, research stated, “Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-of-use (EoU) products. However, the current manual disassembly process is inefficient due to the complexity and variation of EoU products.” Funders for this research include National Science Foundation (NSF), Future of Work at the HumanTechnology Frontier (FW-HTF) Program of the National Science Foundation, USA Our news journalists obtained a quote from the research from the State University of New York (SUNY) Buffalo, “While fully automating disassembly is not economically viable given the intricate nature of the task, there is potential in using human-robot collaboration (HRC) to enhance disassembly operations. HRC combines the flexibility and problem-solving abilities of humans with the precise repetition and handling of unsafe tasks by robots. Nevertheless, numerous challenges persist in technology, human workers, and remanufacturing work, which require comprehensive multidisciplinary research to address critical gaps. These challenges have motivated the authors to provide a detailed discussion on the opportunities and obstacles associated with introducing HRC to disassembly.” According to the news editors, the research concluded: “In this regard, the authors have conducted a review of the recent progress in HRC disassembly and present the insights gained from this analysis from three distinct perspectives: technology, workers, and work.”
BuffaloNew YorkUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsTechnologyState University of New York (SUNY) Buffalo
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