TWM581257U - robot - Google Patents

robot Download PDF

Info

Publication number
TWM581257U
TWM581257U TW108203837U TW108203837U TWM581257U TW M581257 U TWM581257 U TW M581257U TW 108203837 U TW108203837 U TW 108203837U TW 108203837 U TW108203837 U TW 108203837U TW M581257 U TWM581257 U TW M581257U
Authority
TW
Taiwan
Prior art keywords
robot
voice
external host
module
person
Prior art date
Application number
TW108203837U
Other languages
Chinese (zh)
Inventor
張國浩
祝利鴻
江宗祐
黃士林
Original Assignee
合作金庫商業銀行股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 合作金庫商業銀行股份有限公司 filed Critical 合作金庫商業銀行股份有限公司
Priority to TW108203837U priority Critical patent/TWM581257U/en
Publication of TWM581257U publication Critical patent/TWM581257U/en

Links

Landscapes

  • Manipulator (AREA)

Abstract

A robot includes an external host and a robot body. The robot body includes an input device, a storage device, a transmission device, an output device, and a processor. The input device is configured to input a biometric of a person. The storage device stores a voice or action output module. The transmission device is configured to transmit the biometric to the external host for performing an identity recognition process to determine identity of the person. The output device is configured to output voice or image. The processor is electrically connected to the input device, the storage device, the transmission device, and the output device. When the identity of the person is determined, the external host transmits a voice or action command to the transmission device, and the processor executes the voice or action output module to drive the output device to output voice or image according to the voice or action command.

Description

機器人 robot

本新型是有關於一種機器人。 This new type is related to a robot.

現今,公司的高層及人事主管時常無法抽出時間對組織內的員工進行實地訪察。而公司內部的員工意見箱也流於八股,無法真實反映出工作現場的狀況。此導致了員工向心力不易凝聚,工作士氣低落。 Today, the company's senior management and personnel directors often cannot take time to conduct on-site visits to employees in the organization. The employee suggestion box inside the company also flows in eight shares, which cannot truly reflect the status of the work site. This has led to the difficulty of employees' cohesiveness and low morale.

因此,如何收集員工意見,並適時鼓勵員工及回答員工問題,以凝聚員工向心力,是相關領域人員所共同努力的目標。 Therefore, how to collect employee opinions and encourage employees and answer employee questions in a timely manner to unite employees' centripetal force is the goal of people in related fields.

本新型之一態樣係提供一種機器人,包括外部主機及機器人本體。機器人本體包括輸入裝置、儲存裝置、傳輸裝置、輸出裝置、以及處理器。輸入裝置用以輸入一人員之生物特徵。儲存裝置儲存語音或動作輸出模組。傳輸裝置用以將生物特徵傳送至外部主機以進行身分辨識程序,從而確定人員的身分。輸出裝置用以輸出語音或影像。處理器,電性連接至輸入裝置、儲存裝置、傳輸裝置、以及輸出 裝置。當確定人員的身分時,外部主機傳送語音或動作指令至傳輸裝置,且處理器執行語音或動作輸出模組,以根據語音或動作指令來驅動輸出裝置輸出語音或影像。 One aspect of the present invention provides a robot including an external host and a robot body. The robot body includes an input device, a storage device, a transmission device, an output device, and a processor. The input device is used to input the biometric characteristics of a person. The storage device stores a voice or motion output module. The transmission device is configured to transmit the biometrics to an external host for performing an identification process to determine the identity of the person. The output device is used to output voice or video. a processor electrically connected to the input device, the storage device, the transmission device, and the output Device. When determining the identity of the person, the external host transmits a voice or action command to the transmitting device, and the processor executes a voice or action output module to drive the output device to output the voice or image according to the voice or motion command.

於一實施方式中,機器人本體更包括一動作機構,電性連接至處理器。動作機構包含至少一可動部件。當處理器執行語音或動作輸出模組時,係根據語音或動作指令來驅動至少一可動部件進行一或多個動作。 In an embodiment, the robot body further includes an action mechanism electrically connected to the processor. The action mechanism includes at least one movable component. When the processor executes the voice or motion output module, the at least one movable component is driven to perform one or more actions according to the voice or the motion instruction.

於一實施方式中,儲存裝置還儲存導航模組,用以根據事先儲存於儲存裝置的地圖,對機器人本體進行路徑規劃,並驅動動作機構以使機器人照規劃的路徑移動。 In one embodiment, the storage device further stores a navigation module for performing path planning on the robot body according to a map stored in advance on the storage device, and driving the action mechanism to move the robot according to the planned path.

於一實施方式中,儲存裝置還儲存即時通訊軟體,用以使人員通過機器人本體而與外部主機即時互通訊息。 In an embodiment, the storage device also stores an instant messaging software for enabling personnel to instantly communicate with an external host through the robot body.

於一實施方式中,外部主機包含身分辨識模組,並且當生物特徵傳送至外部主機後,身分辨識模組被執行以進行身分辨識程序。 In one embodiment, the external host includes an identity recognition module, and after the biometrics are transmitted to the external host, the identity recognition module is executed to perform the identity recognition process.

於一實施方式中,外部主機還包含一資料庫。資料庫預先儲存各自對應於不同身分的多個待比對生物特徵,且身分辨識程序包含將生物特徵與所述多個待比對生物特徵進行相似度計算,並根據相似度計算結果,確定人員的身分。 In an embodiment, the external host further includes a database. The database pre-stores a plurality of to-be-matched biometrics corresponding to different identities, and the identity recognition program includes calculating a similarity between the biometrics and the plurality of to-be-compared biometrics, and determining the personnel according to the similarity calculation result Identity.

於一實施方式中,生物特徵包含人臉特徵和聲紋特徵。 In one embodiment, the biometric features include facial features and voiceprint features.

於一實施方式中,外部主機包含指令產生模組 及資料庫。當確定人員的身分時,指令產生模組被執行以根據預先儲存於資料庫的人員之至少一個個人化資料來產生語音或動作指令。 In an embodiment, the external host includes an instruction generation module And database. When determining the identity of the person, the instruction generation module is executed to generate a voice or action instruction based on at least one personalized material of a person pre-stored in the database.

於一實施方式中,外部主機還包含一臉部表情評估模組,且傳送至外部主機的生物特徵為人臉特徵。臉部表情評估模組用以根據人臉特徵來產生一臉部表情資訊,且指令產生模組係根據至少一個個人化資料及臉部表情資訊來產生語音或動作指令。 In an embodiment, the external host further includes a facial expression evaluation module, and the biometrics transmitted to the external host are facial features. The facial expression evaluation module is configured to generate a facial expression information according to the facial features, and the command generating module generates a voice or an action instruction according to the at least one personalized data and the facial expression information.

於一實施方式中,外部主機還包含資料查詢平台及資料庫,且人員可通過輸入裝置及輸出裝置遠端連結並操作資料查詢平台,以獲取預先儲存於資料庫的資料。 In an embodiment, the external host further includes a data query platform and a database, and the personnel can remotely connect and operate the data query platform through the input device and the output device to obtain the data stored in the database in advance.

由上述實施方式可知,本揭示內容的機器人可對公司內員工進行實地訪察,並收集員工意見。此外,機器人還可依現場實際狀況,適時鼓勵員工並回答員工問題。因此,本揭示內容的機器人可凝聚員工向心力、提振員工精神,打造良好的工作氛圍。 As can be seen from the above embodiments, the robot of the present disclosure can conduct on-site visits to employees in the company and collect employee opinions. In addition, the robot can also encourage employees and answer employee questions in a timely manner according to the actual situation on site. Therefore, the robot of the present disclosure can condense the employee's centripetal force, boost the spirit of the staff, and create a good working atmosphere.

以下將以實施方式對上述之說明作詳細的描述,並對本新型之技術方案提供更進一步的解釋。 The above description will be described in detail in the following embodiments, and further explanation of the technical solutions of the present invention will be provided.

為讓本新型之上述和其他目的、特徵、優點與實施例能更明顯易懂,所附符號之說明如下: The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood.

10‧‧‧機器人 10‧‧‧ Robot

20‧‧‧方法 20‧‧‧Method

100‧‧‧機器人本體 100‧‧‧Robot body

110‧‧‧輸入裝置 110‧‧‧Input device

120‧‧‧儲存裝置 120‧‧‧Storage device

121‧‧‧語音或動作輸出模組 121‧‧‧Voice or motion output module

122‧‧‧導航模組 122‧‧‧Navigation module

123‧‧‧即時通訊軟體 123‧‧‧ instant messaging software

130‧‧‧傳輸裝置 130‧‧‧Transportation device

140‧‧‧輸出裝置 140‧‧‧output device

150‧‧‧處理器 150‧‧‧ processor

160‧‧‧動作機構 160‧‧‧Action institutions

200‧‧‧外部主機 200‧‧‧External host

210‧‧‧身分辨識模組 210‧‧‧ Identity Identification Module

220‧‧‧指令產生模組 220‧‧‧Command generation module

230‧‧‧臉部表情評估模組 230‧‧‧Face expression evaluation module

240‧‧‧資料查詢平台 240‧‧‧Data Enquiry Platform

250‧‧‧資料庫 250‧‧‧Database

L1‧‧‧通訊連結 L1‧‧‧Communication link

S1~S9‧‧‧步驟 S1~S9‧‧‧Steps

為讓本新型之上述和其他目的、特徵、優點與實施例能更明顯易懂,所附圖式之說明如下:第1圖繪示根據本揭示內容之一實施方式的機器人的方塊圖。 The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood. The description of the drawings is as follows: FIG. 1 is a block diagram of a robot according to an embodiment of the present disclosure.

第2圖繪示根據本揭示內容之一實施方式的機器人的運作方法的流程圖。 FIG. 2 is a flow chart showing a method of operating a robot according to an embodiment of the present disclosure.

為了使本新型之敘述更加詳盡與完備,可參照所附之圖式及以下所述各種實施例,圖式中相同之號碼代表相同或相似之元件。另一方面,眾所週知的元件與步驟並未描述於實施例中,以避免對本新型造成不必要的限制。 In order to make the description of the present invention more complete and complete, reference is made to the accompanying drawings and the accompanying drawings. On the other hand, well-known elements and steps are not described in the embodiments to avoid unnecessarily limiting the present invention.

請參照第1圖,第1圖繪示根據本揭示內容之一實施方式的機器人10的方塊圖。如第1圖所示,機器人10包括機器人本體100及外部主機200。機器人本體100包括輸入裝置110、儲存裝置120、傳輸裝置130、輸出裝置140、以及處理器150。在連接關係上,處理器150電性連接至輸入裝置110、儲存裝置120、傳輸裝置130、以及輸出裝置140。 Please refer to FIG. 1 , which illustrates a block diagram of a robot 10 in accordance with an embodiment of the present disclosure. As shown in FIG. 1, the robot 10 includes a robot body 100 and an external host 200. The robot body 100 includes an input device 110, a storage device 120, a transmission device 130, an output device 140, and a processor 150. In the connection relationship, the processor 150 is electrically connected to the input device 110, the storage device 120, the transmission device 130, and the output device 140.

輸入裝置110用以輸入一員工之生物特徵。具體而言,在此揭露的機器人本體100可辨識員工的身分。而辨識員工身分的方法,係通過輸入裝置110,將員工之生物特徵輸入,並將其傳送至外部主機200以進行身分辨識程序。關於身分辨識程序的細節,稍後將詳細描述。在一些實施例中,生物特徵包含人臉特徵和聲紋特徵,但不以此為限。舉例來說,在生物特徵為人臉特徵的部分實施例中,輸入裝置110為相機或攝影機,可對員工的臉部進行拍攝得到人臉特徵,以傳送至外部主機200。可替代地,在生物特徵 為聲紋特徵的部分實施例中,輸入裝置110為麥克風,而員工的聲紋特徵可通過麥克風輸入,並傳送至外部主機200。另外,在一些其他實施例中,機器人本體100同時包含相機及麥克風兩種輸入裝置110,以將員工的人臉特徵和聲紋特徵傳送至外部主機200。如此,與僅根據人臉特徵或聲紋特徵中的一個來進行身分辨識程序相比,同時根據人臉特徵和聲紋特徵兩者來進行身分辨識程序,可提高辨識的準確性和效率。 The input device 110 is used to input the biometric characteristics of an employee. Specifically, the robot body 100 disclosed herein can recognize the identity of the employee. The method of identifying the employee's identity is to input the biometric characteristics of the employee through the input device 110 and transmit it to the external host 200 for the identity recognition process. Details of the identity recognition program will be described in detail later. In some embodiments, the biometric features include facial features and voiceprint features, but are not limited thereto. For example, in some embodiments in which the biometric feature is a facial feature, the input device 110 is a camera or a camera, and the face of the employee can be photographed to obtain a facial feature for transmission to the external host 200. Alternatively, in biometrics In some embodiments of the voiceprint feature, the input device 110 is a microphone, and the voiceprint features of the employee can be input through the microphone and transmitted to the external host 200. In addition, in some other embodiments, the robot body 100 includes both camera and microphone input devices 110 to transmit the facial features and voiceprint features of the employee to the external host 200. In this way, the identification process can be performed according to both the face feature and the voiceprint feature, and the accuracy and efficiency of the recognition can be improved, compared with the identity recognition process based on only one of the face feature or the voiceprint feature.

傳輸裝置130用以將生物特徵傳送至外部主機200以進行身分辨識程序。具體而言,外部主機200與傳輸裝置130建立一通訊連結L1。從而,前述生物特徵可通過此通訊連結L1傳遞。在一些實施例中,傳輸裝置130可為無線收發器、網路卡或其他通訊裝置,但不以此為限。 The transmission device 130 is configured to transmit the biometrics to the external host 200 for the identity recognition process. Specifically, the external host 200 establishes a communication link L1 with the transmission device 130. Thus, the aforementioned biometrics can be transmitted through this communication link L1. In some embodiments, the transmission device 130 can be a wireless transceiver, a network card, or other communication device, but is not limited thereto.

如前所述,員工之生物特徵被傳送至外部主機200以進行身分辨識程序。詳細而言,外部主機200包含身分辨識模組210及資料庫250。當生物特徵傳送至外部主機200後,身分辨識模組210被執行以進行身分辨識程序。更詳細而言之,資料庫250預先儲存各自對應於不同身分的多個待比對生物特徵,且身分辨識程序包含將傳送到外部主機200的生物特徵與所述多個待比對生物特徵進行相似度計算,並根據相似度計算結果,確定員工的身分。例如,在一些實施例中,可根據歐氏距離計算法或餘弦距離計算法來進行相似度計算。 As previously mentioned, the employee's biometrics are transmitted to the external host 200 for the identity recognition process. In detail, the external host 200 includes an identity recognition module 210 and a database 250. After the biometrics are transmitted to the external host 200, the identity recognition module 210 is executed to perform the identity recognition process. In more detail, the database 250 pre-stores a plurality of to-be-compared biometrics each corresponding to different identities, and the identity recognition program includes biometrics to be transmitted to the external host 200 and the plurality of to-be-compared biometrics. The similarity is calculated, and the employee's identity is determined based on the similarity calculation result. For example, in some embodiments, the similarity calculation can be performed according to an Euclidean distance calculation or a cosine distance calculation.

應理解的是,當生物特徵與資料庫250中的特 定待比對生物特徵的相似度滿足預設條件時,則判斷被辨識之員工為該特定待比對生物特徵所對應的身分。在一些實施例中,所謂「滿足預設條件」可為生物特徵與資料庫250中的特定待比對生物特徵的相似度大於預設相似度。預設相似度的值可以根據需要而改變。例如,預設相似度的值可為90%~100%,例如92%、95%、98%或99%。 It should be understood that when the biometrics and the database 250 are When the similarity of the biometric feature is determined to satisfy the preset condition, the identified employee is determined to be the identity corresponding to the specific biometric feature to be compared. In some embodiments, the so-called "satisfying preset condition" may be that the similarity between the biometric and the specific to-be-compared biometric in the database 250 is greater than a preset similarity. The value of the preset similarity can be changed as needed. For example, the value of the preset similarity may be 90% to 100%, such as 92%, 95%, 98%, or 99%.

為了使機器人本體100可依據員工之個人狀況來進行回應,在一些實施方式中,外部主機200包含指令產生模組220,並且資料庫250還預先儲存公司內各員工之個人化資料。個人化資料例如包含該員工之加班時數、請假狀況、體檢資料等,但不以此為限。據此,當確定被辨識之員工的身分時,指令產生模組220被執行,以根據資料庫250中的該員工之至少一個個人化資料來產生語音或動作指令。語音或動作指令可通過通訊連結L1傳送至傳輸裝置130。 In order to enable the robot body 100 to respond according to the personal status of the employee, in some embodiments, the external host 200 includes an instruction generation module 220, and the database 250 also pre-stores personalized information of each employee in the company. Personalized materials include, for example, the overtime hours of the employee, leave status, medical examination information, etc., but are not limited thereto. Accordingly, when determining the identity of the identified employee, the command generation module 220 is executed to generate a voice or action command based on at least one personalized material of the employee in the database 250. Voice or motion commands can be transmitted to the transmission device 130 via the communication link L1.

儲存裝置120儲存語音或動作輸出模組121。當語音或動作指令傳送至傳輸裝置130時,處理器150執行語音或動作輸出模組121,以根據該語音或動作指令來驅動輸出裝置140輸出一語音或一影像。舉例來說,該員工可能已經加班多天,並且資料庫250中儲存的該員工之加班時數很高。因此,指令產生模組220根據該員工之個人化資料所產生的語音或動作指令可為撥放音樂指令。當此指令被傳送至機器人本體100時,語音或動作輸出模組121可根據此撥放音樂指令來驅動諸如音響之輸出裝置140播放音樂。據此, 鼓勵加班多日之員工。 The storage device 120 stores a voice or action output module 121. When a voice or motion command is transmitted to the transmission device 130, the processor 150 executes a voice or action output module 121 to drive the output device 140 to output a voice or an image according to the voice or motion command. For example, the employee may have worked overtime for many days, and the employee's overtime hours stored in the database 250 are high. Therefore, the voice or action command generated by the command generation module 220 according to the employee's personalized data may be a play music command. When the command is transmitted to the robot body 100, the voice or action output module 121 can drive the output device 140 such as the sound to play music according to the play music command. According to this, Encourage employees who work overtime for many days.

為了更精確判斷員工的身心狀況,在一些實施方式中,外部主機200包含一臉部表情評估模組230。如前所述,機器人本體100可包含相機或攝影機等輸入裝置110,以將員工的人臉特徵傳送至外部主機200。當人臉特徵傳送至外部主機200時,臉部表情評估模組230被執行以根據該員工之人臉特徵,產生一臉部表情資訊。從而,指令產生模組220除了根據該員工之個人化資料外,亦根據該臉部表情資訊來產生語音或動作指令。 In order to more accurately determine the physical and mental condition of the employee, in some embodiments, the external host 200 includes a facial expression evaluation module 230. As previously mentioned, the robot body 100 can include an input device 110 such as a camera or camera to communicate the facial features of the employee to the external host 200. When the facial features are transmitted to the external host 200, the facial expression evaluation module 230 is executed to generate a facial expression information based on the facial features of the employee. Therefore, the command generation module 220 generates a voice or an action command according to the facial expression information in addition to the personalized information of the employee.

在一些實施方式中,機器人本體100包含動作機構160,且動作機構160電性連接至處理器150。機器人本體100的動作機構160包含至少一可動部件,例如頭部、手部或腿部等。據此,語音或動作輸出模組121可根據語音或動作指令來驅動所述可動部件進行一或多個動作。在一些實施例中,一或多個動作例如為頭部、手部或腿部之多軸運動、平移運動、旋轉運動或震動等。從而,驅動機器人本體100的多個可動部件可進行一系列動作,模仿諸如搖頭、擺手、跳舞等人類的動作。舉例來說,在被辨識之員工加班多日的狀況下,外部主機200的指令產生模組220所產生的語音或動作指令可為跳舞指令。當此指令被傳送至機器人本體100時,語音或動作輸出模組121可根據此跳舞指令來驅動所述可動部件進行跳舞的動作。 In some embodiments, the robot body 100 includes an action mechanism 160 , and the action mechanism 160 is electrically connected to the processor 150 . The action mechanism 160 of the robot body 100 includes at least one movable member such as a head, a hand or a leg. Accordingly, the voice or action output module 121 can drive the movable component to perform one or more actions according to voice or motion commands. In some embodiments, the one or more actions are, for example, multi-axis motion, translational motion, rotational motion, or vibration of the head, hand, or leg. Thereby, the plurality of movable members that drive the robot body 100 can perform a series of actions, imitating human movements such as shaking the head, waving the hand, dancing, and the like. For example, in the case that the identified employee works overtime for many days, the voice or action command generated by the command generating module 220 of the external host 200 may be a dance instruction. When the command is transmitted to the robot body 100, the voice or action output module 121 can drive the movable member to perform a dance according to the dance instruction.

在一些實施方式中,機器人本體100的儲存裝置120還儲存導航模組122,且儲存裝置120事先儲存公司 的室內地圖。具體地,導航模組122用以根據該室內地圖,對機器人本體100進行路徑規劃,並驅動機器人本體100的動作機構160(例如滾輪),使機器人本體100依照規劃的路徑移動。例如,欲使機器人本體100前往指定的部門,以表揚特定員工。導航模組122根據公司的室內地圖,規劃出前往該指定部門的路徑,並驅動機器人本體100的動作機構160,使機器人本體100依照規劃的路徑移動至該指定部門。在機器人本體100到達指定部門之後,通過前述方式進行身分辨識程序,以確定特定員工身分。接著,語音或動作輸出模組121可根據語音或動作指令,驅動諸如音響之輸出裝置140來輸出錄音表揚該特定員工。 In some embodiments, the storage device 120 of the robot body 100 further stores the navigation module 122, and the storage device 120 stores the company in advance. Indoor map. Specifically, the navigation module 122 is configured to perform path planning on the robot body 100 according to the indoor map, and drive an action mechanism 160 (eg, a scroll wheel) of the robot body 100 to move the robot body 100 according to a planned path. For example, the robot body 100 is intended to go to a designated department to recognize a specific employee. The navigation module 122 plans a route to the designated department based on the indoor map of the company, and drives the action mechanism 160 of the robot body 100 to move the robot body 100 to the designated department in accordance with the planned route. After the robot body 100 reaches the designated department, the identity recognition process is performed in the foregoing manner to determine the specific employee identity. Then, the voice or action output module 121 can drive an output device 140 such as a sound to output a recording to recognize the particular employee based on the voice or motion command.

在一些實施方式中,機器人本體100的儲存裝置120還儲存即時通訊軟體123。即時通訊軟體123用以使員工可通過機器人本體100與外部主機200即時互通訊息。舉例來說,外部主機200位於公司的人資部門內,並由一人資部門的同仁操作。當員工有問題並欲聯繫人資部門時,可通過該即時通訊軟體123,與操作外部主機200的人資部門的同仁即時互通訊息。在一些實施例中,即時互通訊息的方式包括即時傳遞文字訊息、網路電話或視訊電話。例如,機器人本體100可包括諸如觸控螢幕、麥克風、攝影機等輸入裝置110,讓員工可通過觸控螢幕輸入文字訊息並傳遞到外部主機200,或通過麥克風、攝影機與外部主機200進行網路電話或視訊電話。 In some embodiments, the storage device 120 of the robot body 100 also stores the instant messaging software 123. The instant messaging software 123 is used to enable the employee to instantly communicate with the external host 200 through the robot body 100. For example, the external host 200 is located in the personnel department of the company and is operated by a person in the department of a person. When the employee has a problem and wants to contact the department, the instant messaging software 123 can communicate with the colleagues of the human resources department operating the external host 200. In some embodiments, the means of instant messaging includes instant delivery of text messages, internet calls or video calls. For example, the robot body 100 may include an input device 110 such as a touch screen, a microphone, a camera, etc., so that an employee can input a text message through the touch screen and transmit it to the external host 200, or perform a network call with the external host 200 through a microphone or a camera. Or video call.

在一些實施方式中,外部主機200還包含資料 查詢平台240。員工可通過機器人本體100的輸入裝置110及輸出裝置140遠端連結並操作資料查詢平台240,以獲取預先儲存於資料庫250的資料。所述資料例如是勞資法條、待遇福利或新公告之人事規定等資訊。舉例來說,機器人本體100包含諸如觸控螢幕之輸入裝置110、輸出裝置140。員工可通過觸控螢幕連結至資料查詢平台240,並點選所欲查詢之資料,從而預先儲存於資料庫250的資料即可透過觸控螢幕顯示給該員工觀看。此外,在一些實施例中,當員工無法從資料查詢平台240獲取欲查詢之資料或欲提問問題時,可通過麥克風、攝影機等輸入裝置110,將欲查詢之資料或問題以錄音、錄影方式傳送至外部主機200,並儲存於資料庫250中,以待之後由公司的高層或人事主管來提供資料或回答問題。 In some embodiments, the external host 200 also includes data Query platform 240. The employee can remotely connect and operate the data query platform 240 through the input device 110 and the output device 140 of the robot body 100 to obtain the data stored in the database 250 in advance. The information is, for example, information such as labor law, treatment benefits or personnel regulations for new announcements. For example, the robot body 100 includes an input device 110 such as a touch screen, and an output device 140. Employees can connect to the data enquiry platform 240 through the touch screen and click on the information to be queried. The data pre-stored in the database 250 can be displayed to the employee through the touch screen. In addition, in some embodiments, when the employee cannot obtain the information to be queried or asks a question from the data query platform 240, the information or question to be queried may be transmitted by recording or video recording through the input device 110 such as a microphone or a camera. To the external host 200, and stored in the database 250, the information or answer questions are then provided by the company's senior management or personnel supervisor.

為了詳加敘述機器人10的運作方式,以下將搭配第2圖來做說明。第2圖繪示機器人10的運作方法20的流程圖。應瞭解到,在第2圖中所提及的步驟,除特別敘明其順序者外,均可依實際需要調整其前後順序,亦可同時或部分同時執行,甚至可增加額外步驟或省略部份步驟。 In order to describe in detail the operation mode of the robot 10, the following description will be made with reference to FIG. FIG. 2 is a flow chart showing a method 20 of operation of the robot 10. It should be understood that the steps mentioned in Figure 2 can be adjusted according to actual needs, except for the order in which they are specifically stated. They can also be performed simultaneously or partially simultaneously, and even additional steps or omissions can be added. Steps.

首先,請同時參照第1圖、第2圖,於步驟S1中,設定機器人本體100之巡視路線及任務。例如,人資部門及高階主管決定機器人本體100本次巡視之主要任務(如使機器人本體100到達特定部門並表揚特定員工)。 First, please refer to FIG. 1 and FIG. 2 simultaneously, and in step S1, the patrol route and task of the robot main body 100 are set. For example, the human resources department and the senior executives determine the main tasks of the robot body 100 for this tour (such as having the robot body 100 reach a specific department and praise a specific employee).

接下來,於步驟S2中,導航模組122根據公司的室內地圖,規劃出前往該指定部門的路徑,並驅動機器人 本體100的動作機構160,使機器人本體100依照規劃的路徑移動至該指定部門。 Next, in step S2, the navigation module 122 plans a route to the designated department according to the company's indoor map, and drives the robot. The action mechanism 160 of the body 100 moves the robot body 100 to the designated department in accordance with the planned path.

接著,於步驟S3中,機器人本體100移動至特定員工旁,並通過輸入裝置110輸入特定員工之生物特徵,並將其傳送至外部主機200。例如,輸入裝置110為相機或攝影機,並對員工的臉部進行拍攝得到人臉特徵,以傳送至外部主機200。 Next, in step S3, the robot body 100 is moved to a specific employee, and the biometric of the specific employee is input through the input device 110 and transmitted to the external host 200. For example, the input device 110 is a camera or a camera, and the face of the employee is photographed to obtain a facial feature for transmission to the external host 200.

在步驟S4中,外部主機200的身分辨識模組210被執行以進行身分辨識程序。具體地,身分辨識程序包含將傳送至外部主機200的生物特徵與預先儲存於資料庫250的多個待比對生物特徵進行相似度計算,並根據相似度計算結果,確定員工的身分。 In step S4, the identity recognition module 210 of the external host 200 is executed to perform the identity recognition process. Specifically, the identity recognition program includes performing similarity calculation on the biometrics transmitted to the external host 200 and the plurality of to-be-compared biometrics pre-stored in the database 250, and determining the identity of the employee according to the similarity calculation result.

接下來,於步驟S5中,外部主機200的指令產生模組220,根據資料庫250中的該員工之至少一個個人化資料來產生語音或動作指令,並將語音或動作指令傳送至機器人本體100。應理解,當欲進行某些任務(例如表揚特定員工)時,可預先設定指令產生模組220,使得指令產生模組220可產生另外的語音或動作指令(例如播放表揚事蹟的錄音檔),以傳送至機器人本體100。 Next, in step S5, the instruction generating module 220 of the external host 200 generates a voice or action command according to at least one personalized data of the employee in the database 250, and transmits the voice or action command to the robot body 100. . It should be understood that when certain tasks are to be performed (eg, to recognize a particular employee), the command generation module 220 may be preset such that the command generation module 220 may generate additional voice or action instructions (eg, a play file that plays a commendation story). It is transmitted to the robot body 100.

接著,於步驟S6中,執行語音或動作輸出模組121,以根據該語音或動作指令來驅動機器人本體100的輸出裝置140或動作機構160,從而使機器人本體100輸出語音或影像或進行一或多個動作。例如,驅動諸如音響之輸出裝置140以播放表揚事蹟的錄音檔。或者,同時驅動諸如音 響之輸出裝置140及動作機構160,使機器人本體100進行如唱歌跳舞的動作,以鼓勵該員工。 Next, in step S6, the voice or action output module 121 is executed to drive the output device 140 or the action mechanism 160 of the robot body 100 according to the voice or motion command, so that the robot body 100 outputs voice or video or performs one or Multiple actions. For example, an output device 140 such as an audio is driven to play a recording file that recognizes the deeds. Or, at the same time, drive such as sound The output device 140 and the action mechanism 160 are caused to cause the robot body 100 to perform an action such as singing and dancing to encourage the employee.

在一些實施方式中,該特定員工或位於該特定部門之其他員工,亦可通過機器人本體100來查詢資料或提問問題。以該特定部門之其他員工欲查詢資料或提問問題為例,在此情況下,方法20還可包含步驟S7~S9。 In some embodiments, the specific employee or other employees located in the specific department may also query the data or ask questions through the robot body 100. For example, the method 20 may include steps S7 to S9.

在步驟S7中,其他員工通過機器人本體100的輸入裝置110及輸出裝置140遠端連結並操作外部主機200的資料查詢平台240,以獲取預先儲存於資料庫250的資料。 In step S7, other employees remotely connect and operate the data query platform 240 of the external host 200 through the input device 110 and the output device 140 of the robot body 100 to acquire the data stored in the database 250 in advance.

在步驟S8中,其他員工還可通過即時通訊軟體123,以與操作外部主機200的人資部門的同仁即時互通訊息,以提問問題。 In step S8, other employees can also use the instant messaging software 123 to communicate with the colleagues of the human resources department operating the external host 200 to ask questions.

在無法從資料查詢平台240獲取欲查詢之資料的一些實施例中,如步驟S9所示,其他員工還可通過麥克風、攝影機等輸入裝置110,將欲查詢之資料或問題以錄音、錄影方式傳送至外部主機200,並儲存於資料庫250中,以待之後由公司的高層或人事主管來提供資料或回答問題。 In some embodiments in which the data to be queried cannot be obtained from the data query platform 240, as shown in step S9, other employees may also transmit the data or questions to be queried by recording or video recording through the input device 110 such as a microphone or a video camera. To the external host 200, and stored in the database 250, the information or answer questions are then provided by the company's senior management or personnel supervisor.

綜上所述,本新型之機器人可對公司內員工進行實地訪察,並收集員工意見。此外,機器人還可依現場實際狀況,適時鼓勵員工並回答員工問題。因此,本新型之機器人可凝聚員工向心力、提振員工精神,打造良好的工作氛圍。 In summary, the new robot can conduct on-site visits to employees within the company and collect employee opinions. In addition, the robot can also encourage employees and answer employee questions in a timely manner according to the actual situation on site. Therefore, the new type of robot can unite the employees to the heart, boost the spirit of the staff, and create a good working atmosphere.

雖然本新型已以實施方式揭露如上,然其並非用以限定本新型,任何熟習此技藝者,於不脫離本新型之精 神和範圍內,當可作各種之更動與潤飾,因此本新型之保護範圍當視後附之申請專利範圍所界定者為準。 Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and anyone skilled in the art may not deviate from the essence of the present invention. Within the scope of God and the scope, the various modifications and refinements may be made, and the scope of protection of this new type shall be subject to the definition of the scope of the patent application.

Claims (10)

一種機器人,包括:一外部主機;以及一機器人本體,包括:一輸入裝置,用以輸入一人員之一生物特徵;一儲存裝置,儲存一語音或動作輸出模組;一傳輸裝置,用以將該生物特徵傳送至該外部主機以進行一身分辨識程序,從而確定該人員的身分;一輸出裝置,用以輸出一語音或一影像;以及一處理器,電性連接至該輸入裝置、該儲存裝置、該傳輸裝置、以及該輸出裝置;其中當確定該人員的身分時,該外部主機傳送一語音或動作指令至該傳輸裝置,且該處理器執行該語音或動作輸出模組,以根據該語音或動作指令來驅動該輸出裝置輸出該語音或該影像。 A robot comprising: an external host; and a robot body comprising: an input device for inputting a biometric of a person; a storage device for storing a voice or action output module; and a transmission device for The biometric feature is transmitted to the external host to perform an identity recognition process to determine the identity of the person; an output device for outputting a voice or an image; and a processor electrically connected to the input device, the storage The device, the transmission device, and the output device; wherein when determining the identity of the person, the external host transmits a voice or action command to the transmission device, and the processor executes the voice or action output module to A voice or motion command to drive the output device to output the voice or the image. 如申請專利範圍第1項之機器人,其中該機器人本體更包括:一動作機構,電性連接至該處理器,其中該動作機構包含至少一可動部件;其中當該處理器執行該語音或動作輸出模組時,係根據該語音或動作指令來驅動該至少一可動部件進行一或多個動作。 The robot of claim 1, wherein the robot body further comprises: an action mechanism electrically connected to the processor, wherein the action mechanism comprises at least one movable component; wherein when the processor performs the voice or motion output In the module, the at least one movable component is driven to perform one or more actions according to the voice or motion command. 如申請專利範圍第2項之機器人,其中該 儲存裝置還儲存一導航模組,用以根據事先儲存於該儲存裝置的一地圖,對該機器人本體進行路徑規劃,並驅動該動作機構以使該機器人照規劃的路徑移動。 Such as the robot of claim 2, wherein The storage device further stores a navigation module for path planning the robot body according to a map stored in advance on the storage device, and driving the motion mechanism to move the robot according to the planned path. 如申請專利範圍第1項之機器人,其中該儲存裝置還儲存一即時通訊軟體,用以使該人員通過該機器人本體而與該外部主機即時互通訊息。 The robot of claim 1, wherein the storage device further stores an instant messaging software for enabling the person to communicate with the external host through the robot body. 如申請專利範圍第1項之機器人,其中該外部主機包含一身分辨識模組,當該生物特徵傳送至該外部主機後,該身分辨識模組被執行以進行該身分辨識程序。 The robot of claim 1, wherein the external host comprises an identity recognition module, and after the biometric is transmitted to the external host, the identity recognition module is executed to perform the identity recognition process. 如申請專利範圍第5項之機器人,其中該外部主機還包含一資料庫,該資料庫預先儲存各自對應於不同身分的多個待比對生物特徵,且該身分辨識程序包含將該生物特徵與該些待比對生物特徵進行相似度計算,並根據相似度計算結果,確定該人員的身分。 The robot of claim 5, wherein the external host further comprises a database, wherein the database pre-stores a plurality of to-be-matched biometrics corresponding to different identities, and the identity recognition program includes the biometrics The similarity calculations are performed on the biometrics, and the identity of the person is determined according to the similarity calculation result. 如申請專利範圍第1項之機器人,其中該生物特徵包含人臉特徵和聲紋特徵。 The robot of claim 1, wherein the biometric feature comprises a facial feature and a voiceprint feature. 如申請專利範圍第1項之機器人,其中該外部主機包含一指令產生模組及一資料庫,其中當確定該人員的身分時,該指令產生模組被執行以根據預先儲存於該資料庫的該人員之至少一個個人化資料來產生該語音或 動作指令。 The robot of claim 1, wherein the external host comprises an instruction generation module and a database, wherein when the identity of the person is determined, the instruction generation module is executed according to the pre-stored in the database. At least one personalized material of the person to generate the voice or Action instruction. 如申請專利範圍第8項之機器人,其中該外部主機還包含一臉部表情評估模組,且傳送至該外部主機的該生物特徵為人臉特徵,其中該臉部表情評估模組用以根據該人臉特徵來產生一臉部表情資訊,且該指令產生模組係根據該至少一個個人化資料及該臉部表情資訊來產生該語音或動作指令。 The robot of claim 8 , wherein the external host further comprises a facial expression evaluation module, and the biometric feature transmitted to the external host is a facial feature, wherein the facial expression evaluation module is configured to The facial feature generates a facial expression information, and the instruction generating module generates the voice or motion instruction according to the at least one personalized material and the facial expression information. 如申請專利範圍第1項之機器人,其中該外部主機還包含一資料查詢平台及一資料庫,且該人員可通過該輸入裝置及該輸出裝置遠端連結並操作該資料查詢平台,以獲取預先儲存於該資料庫的資料。 The robot of claim 1, wherein the external host further includes a data query platform and a database, and the person can remotely connect and operate the data query platform through the input device and the output device to obtain an advance Information stored in this database.
TW108203837U 2019-03-28 2019-03-28 robot TWM581257U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW108203837U TWM581257U (en) 2019-03-28 2019-03-28 robot

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW108203837U TWM581257U (en) 2019-03-28 2019-03-28 robot

Publications (1)

Publication Number Publication Date
TWM581257U true TWM581257U (en) 2019-07-21

Family

ID=68050698

Family Applications (1)

Application Number Title Priority Date Filing Date
TW108203837U TWM581257U (en) 2019-03-28 2019-03-28 robot

Country Status (1)

Country Link
TW (1) TWM581257U (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI742352B (en) * 2019-03-28 2021-10-11 合作金庫商業銀行股份有限公司 Robot
TWI764220B (en) * 2020-07-17 2022-05-11 丹麥商藍色海洋機器人設備公司 Methods of controlling a mobile robot device from one or more remote user devices
TWI779581B (en) * 2020-07-13 2022-10-01 大陸商支付寶(杭州)信息技術有限公司 Test method, apparatus, apparatus and system for biometric identification equipment

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI742352B (en) * 2019-03-28 2021-10-11 合作金庫商業銀行股份有限公司 Robot
TWI779581B (en) * 2020-07-13 2022-10-01 大陸商支付寶(杭州)信息技術有限公司 Test method, apparatus, apparatus and system for biometric identification equipment
TWI764220B (en) * 2020-07-17 2022-05-11 丹麥商藍色海洋機器人設備公司 Methods of controlling a mobile robot device from one or more remote user devices
US11619935B2 (en) 2020-07-17 2023-04-04 Blue Ocean Robotics Aps Methods of controlling a mobile robot device from one or more remote user devices

Similar Documents

Publication Publication Date Title
TWM581257U (en) robot
Gockley et al. Designing robots for long-term social interaction
US20200020454A1 (en) Tele-health networking, interaction, and care matching tool and methods of use
CN106663383B (en) Method and system for analyzing a subject
Jensen et al. Robots meet humans-interaction in public spaces
JP2021099866A (en) Systems and methods
CN110998725B (en) Generating a response in a dialog
US20080096533A1 (en) Virtual Assistant With Real-Time Emotions
Norton et al. Analysis of human–robot interaction at the DARPA Robotics Challenge Finals
Bhawuk et al. Intercultural competence development and triple-loop cultural learning: Toward a theory of intercultural sensitivity
CN109524085A (en) It is a kind of based on interactive cognitive analysis method and system
CN105144027A (en) Using nonverbal communication in determining actions
CN109765991A (en) Social interaction system is used to help system and non-transitory computer-readable storage media that user carries out social interaction
Harriott et al. Modeling human performance for human–robot systems
WO2021081649A1 (en) Method and system for an interface to provide activity recommendations
US20200135050A1 (en) Internet of things public speaking coach
US11120798B2 (en) Voice interface system for facilitating anonymized team feedback for a team health monitor
Jung et al. Robot assisted tower construction-a resource distribution task to study human-robot collaboration and interaction with groups of people
Mohd et al. Multi-modal data fusion in enhancing human-machine interaction for robotic applications: A survey
Marge et al. A research platform for multi-robot dialogue with humans
Homburg How to include humanoid robots into experimental research: a multi-step approach
Giuliani et al. Using embodied multimodal fusion to perform supportive and instructive robot roles in human-robot interaction
Wang et al. Agent-based dynamic collaboration support in a smart office space
Silva et al. Mirroring emotion system-on-line synthesizing facial expressions on a robot face
JP2019175432A (en) Dialogue control device, dialogue system, dialogue control method, and program