基于層次分析法的智能服務(wù)機(jī)器人設(shè)計(jì)研究
摘 要：為建立智能服務(wù)機(jī)器人功能需求指標(biāo)體系，文章首先對(duì)智能服務(wù)機(jī)器人的相關(guān)文獻(xiàn)及使用場(chǎng)景商業(yè)模式進(jìn)行了研究，總結(jié)服務(wù)機(jī)器人設(shè)計(jì)的現(xiàn)狀。然后通過(guò)問(wèn)卷調(diào)查法、訪談法和層次分析法計(jì)算各功能指標(biāo)的權(quán)重值，并完成一致性檢驗(yàn)。得出智能服務(wù)機(jī)器人的需求指標(biāo)目標(biāo)層1個(gè)、準(zhǔn)則層4個(gè)、評(píng)價(jià)指標(biāo)層14個(gè)，其中準(zhǔn)則層的重要度從高到低排序?yàn)楣δ苄浴⒅悄苄?、交互性和美觀性，功能性中貨物搬運(yùn)權(quán)重占比最大，其次是精準(zhǔn)補(bǔ)貨。最后，將研究結(jié)論和設(shè)計(jì)實(shí)踐相結(jié)合設(shè)計(jì)了一款宜家服務(wù)機(jī)器人，并從功能性、智能性、交互性及美觀性四個(gè)方面進(jìn)行設(shè)計(jì)，以期為智能服務(wù)機(jī)器人設(shè)計(jì)提供一定的借鑒。
關(guān)鍵詞：服務(wù)機(jī)器人；需求指標(biāo)；層次分析法；產(chǎn)品設(shè)計(jì)
中圖分類號(hào)：TB472 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1672-7053(2023)07-0152-04
基金項(xiàng)目：江蘇省大學(xué)生創(chuàng)新訓(xùn)練項(xiàng)目省級(jí)重點(diǎn)項(xiàng)目（202211276046Z）；南京工程學(xué)院校級(jí)創(chuàng)新基金面上項(xiàng)目（CKJB202211）
Abstract：In order to establish the functional requirement index system of intelligent service robot, this paper summarizes the status quo of service robot design through the research of relevant literatures of intelligent service robot and the analysis of business models of application scenarios. Then the weight value of each functional index is calculated by questionnaire survey, interview and analytic hierarchy process, and the consistency test is completed. It is concluded that there are 1 demand index target layer, 4 criterion layers and 14 evaluation index layers of intelligent service robots, among which the importance of criterion layer is ranked from high to low as functionality, intelligence, interactivity and beauty, and the weight of cargo handling accounts for the largest proportion in functionality, followed by accurate replenishment. Finally, will An IKEA service robot is designed based on the research conclusion and design practice, and it is designed from four aspects: functionality, intelligence, interactivity and aesthetics, in order to provide some reference for the design of intelligent service robot.
Key Words： Service Robots; Demand Indicators; Analytic Hierarchy Process; Product Design
