隨著機器人技術的進步，工業機器人在代替人類從事繁重的工作的同時，也 給工作場所的人員帶來了危險，工業機器人意外事故分析是對災害防治的關鍵的 議題。本研究針對 1984 年至 2019 年期間所發生的 102 件工業機器人意外事故進 行分析，整理每件案例的性別、年齡、受傷部位、職位、行業類別、媒介物、事 故類別、作業類型和發生原因，並運用 Cramer’s V 統計量找出各個影響因素之 間的相關性，並運用失誤樹中布林代數(Boolean algebra)分析不同作業類型的工 業機器人事故發生根本原因以及最小分割集合(Minimal cut set)。 本研究將有關工業機器人的作業類型分為設置(Set-up)；生產(Production)； 維修(Repair or troubleshoot)；維護(Maintenance)；排除異常(Handling production disturbances)；其他(Other)。依據布林代數的邏輯原理，將工業機器人事故失誤 樹其他發生原因分支減少到最小分割集合，得出以上六類作業類型意外事故發生 的根本原因。在找出各類作業類型的根本原因之後，針對不同種作業從人員進入 危險區域、機器人的突然動作、安全設備不足以及不安全管理四個方面來探討有 效的事故防治措施，預防事故的發生。

With the advancement of robotics, industrial robots not only replace the heavy work of the human but also bring danger to the personnel in the workplace. The accident analysis of industrial robots is an important source of information for developing prevention strategies and making decisions.The current study analyzed 102 industrial robot accidents. Each industrial robot accidents in terms of gender, age, part of body,occupation, type of industry, source of injury, event type, performing task, and causes for these accidents.These tasks were divided into: (1)Set-up; (2)Production; (3)Repair or troubleshoot; (4)Maintenance; (5)Handing production disturbances; (6)Others. Boolean algebra analysis was applied to these 102 industrial robot accidents to derive minimal cut set causes associated with each performing task. Contributing factors and prevention measures for each patterns were derived based on the association between contributing factors and accident patterns.Some accidents cause were significantly related to the performing task.These industrial robot accidents can be eliminated by focusing on the prevention measures associated with human in danger work zone,sudden robot movement,inadequate safety device,substandard unsafe management.

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