Control Method for mobile robot system

Abstract: A control method which is preferable for a mobile robot system having a control station and a plurality of mobile robots. When mobile robots having no task exist in the system and tasks not completed are remaining, the control station instructs the mobile robots to evaluate the remaining tasks. The mobile robots having no task then evaluate the remaining tasks and report the evaluation values to the control station. The control station sequentially selects the combination of one of the mobile robots, having no task and one of the remaining tasks which are not assigned to the mobile robots so that the combination presenting the best evaluation value is selected, and assigns the task of the selected combination to the mobile robot of the selected combination.

Description: Background of the Invention The present invention relates to a method for controlling mobile robot systems employing a control station and a plurality of mobile robots. Recent developments of factory automation techniques offer mobile robot systems which employ a control station and a plurality of mobile robots, each of which travels and performs a task according to an instruction given by the control station. Fig. 2 is a block diagram showing the functional configuration of this kind of mobile robot system. In Fig. 2, C designates the control station; and R1 through Rn designate the mobile robots. Control station C and each one of mobile robots R1 through Rn communicate by means of wire communication or radio communication. The instructions are given to control station C by a host computer UC or an operator OP. These instructions may be sequentially supplied to control station C at short intervals which are shorter than the operation time required for the mobile robots to perform the tasks. Therefore, the instructions are stacked in control station C. When a mobile robot Rk having no task occurs, the oldest instruction among the stacked instructions is selected and transmitted to the mobile robot Rk. The robot then starts to carry out the task designated by the instruction. When a plularity of mobile robots, each having no task, occur simultaneously in the system, control station C instructs the mobile robots to determine the best travel route and to evaluate the route. Each robot then searches the possible travel routes through which the mobile robot can travel to the work point at which the task is to be carried out, and selects the best travel route which is the most preferable, for example, the possible travel route having the shortest length, or the possible travel route generating the lowest loss of the power of the robot. Each robot further calculate the losses which are generated when the robot travels through the best travel route and determines the evaluation value based on the calculated results. The evaluation result obtained by each robot is transmitted to control station C. Control station C selects one of the robots, which transmits the most preferable evaluation value. In the above system, however, the operation efficiency of the system may often be low due to the above-described instruction selection in which the instructions are selected according to the sequence of the instructions and the older instruction is selected earlier. For example, suppose the following case occurs: (1) Mobile robots R1 through R3, having no task, are waiting for instructions in the system as shown in Fig. 3. (2) The instructions corresponding to tasks W1 and W2, which are to be performed at the points respectively indicated by "W1" and "W2" in Fig. 3, are stacked. (3) The instruction of task W1 is older than the instruction of task W2. In this case, control station C instructs mobile robots R1 through R3 to determine the best travel route and to evaluate the route for executing the task W1 because the instruction of task W1 is older than the instruction of task W2. When the evaluation values are transmitted from mobile robots R1 through R3 to control station C, the control station then instructs the task W1 to one of the robots which presents the best evaluation value. In this manner, task W1 is carried out earlier than task W2. However, task W2 should be carried out before task W1 in the case shown in Fig. 3, because the all mobile robots R1 through R3 are closer to the work point of task W2 rather than the work point of task W1. JP-A-62 032 519 (Shinko Electric) discloses a method of searching for an optimum route by parallel processing in each mobile robot. When a work request is generated in some work point, it is transferred to a central station which instructs mobile robots to search for an optimum route. A central processing unit of a mobile robot to which the search has been instructed searches a route extending from a start work point (namely, its own present position) to an object work point by a vertical searching method or a horizontal searching method, and transfers it to the central station. The central station then compares evaluation values which are received from each mobile robot and sends a moving instruction to the mobile robot which has sent the best evaluation value. Summary of the Invention In consideration of the above, it is an object of the present invention to provide a control method for a mobile robot system which improves the operation efficiency of the system. Accordingly, the present invention provides a method of controlling a mobile robot system having a control station (C) and a plurality of mobile robots (R1-Rn) which travel to work points (W1-Wn) as instructed by the control station and carry out tasks instructed by the control station at the said work points, the control method characterised by the steps of: a) Storing tasks to be assigned to said mobile robots (R1-Rn); b) Instructing mobile robots (R1-Rn) in the system having no assigned tasks to evaluate the stored unassigned tasks, wherein each unassigned mobile robot evaluates each said unassigned task by: i) Determining the best travel route for travelling to the respective work point (W1-Wn) at which each unassigned task is to be carried out; and ii) Generating an evaluation value for each said unassigned task in dependence on the best travel route therefor; c) Creating an evaluation table (Figure 1) containing the evaluation values generated by said unassigned mobile robots (R1-Rn); d) Selecting the optimum evaluation value from the table (Figure 1), selecting the mobile robot (R1-Rn) and task associated with the said optimum value and assigning the selected mobile robot to the selected task; e) Deleting from the table (Figure 1) all of the evaluation values associated with the selected mobile robot (R1-Rn) and all of the evaluation values associated with the selected task; and f) Repeating steps (d) and (e). Brief Description of the Drawings The present invention is further described hereinafter, by way of example, with reference to the accompanying drawings, in which: Fig. 1 is a block diagram showing the evaluation table which is used for the control method of a preferred embodiment of the present invention. Fig. 2 is a block diagram showing the configuration of the conventional mobile robot system. Fig. 3 is a chart for describing the problem of the conventional control method for the mobile robot system. Detailed Description of the Preferred Embodiments Hereinafter, description will be given with respect to a control method for a mobile robot system according to the preferred embodiment of the present invention. Suppose the following case occurs: (1) Mobile robots R1 through R3, having no task, are waiting for instructions in the system as shown in Fig. 3. (2) The instructions corresponding to tasks W1 through W3, which are to be performed at the points respectively indicated by "W1" through "W3" in Fig 3 are stacked. (3) The instructions of task W1 through W3 were generated in the order W1, W2 and W3. In the method of the preferred embodiment, control station C gives the following instructions to mobile robots R1 through R3: a) Determine the best travel routes for traveling to the work points at which tasks W1 through W3 are to be performed, from the point at which the corresponding robot rests. b) Evaluate the best travel routes corresponding to task W1 through W3. Mobile robot R1 through R3 determine the best travel routes based on a predetermined algorithm and evaluate the best travel routes based on a predetermined evaluation function in response to the instructions from control station C. Conventional algorithm and evaluation function are used for the determination of the best travel route and the evaluation. Such conventional techniques are disclosed in Japanese patent laid-open publication No. 62-32516 or Japanese patent laid-open publication No. 62-32517. Mobile robots R1 through R3 report the evaluation values corresponding to task W1 through W3 to control station C. In the case where the evaluation value for the best travel route between the position of mobile robot R1 and the work points of tasks W1, W2, and W3 are 1.5, 0.5, and 3.2, respectively, these values 1.5, 0.5, and 3.2 are sent to control station C from mobile robot R1. Similarly, the evaluation values calculated by the other mobile robots are sent to control station C. Control station C then makes an evaluation table which includes the evaluation values corresponding to the combinations of mobile robots R1 through R3 and tasks W1 through W3. Fig. 1 shows the example of the evaluation table. In this example, the combination of mobile robot R1 and task W2 presents the best evaluation value 0.5 of all evaluation values in the table. Accordingly, control station C decides that task W2 should be assigned to mobile robot R1. Next, control station C deletes the evaluation values corresponding to mobile robot R1 and task W2, i.e., evaluation values for the combination of R1 and W1, and for the combination of R1 and W2, and for the combination of R1 and W3, and for the combination of R2 and W2, and for the combination of R3 and W2. After the deletion, control station C selects one of the combinations which presents the best evaluation value in the remaining combinations. In this case, the combination of R3 and W1 presents the best evaluation value 0.7. Accordingly, the control station decides that task W1 is to be assigned to mobile robot R3. Next, control station decides that the remaining task W3 is to be assigned to the remaining mobile robot R2. In this manner, the tasks are assigned to the mobile robots. Control station C then instructs tasks W2, W1, and W3, respectively, to mobile robots R1, R3, and R2 simultaneously. The mobile robots then begin to travel to carry out the instructed tasks. By using the method, the tasks given to the mobile robot system can be achieved at high efficiency for the following reasons: (1) The tasks are assigned to the mobile robots in consideration of all the mobile robots which have no task and all the remaining tasks. Accordingly, a high operation efficiency is obtained from the mobile robot system. (2) The mobile robots carry out the search operation for determining the best travel routes and the evaluation for the routes simultaneously. Accordingly, all the evaluation values, which are used for assigning the tasks to the robots, are obtained in a short time. (3) The control station assigns the tasks to the mobile robots based on only the evaluation values received from the mobile robot. Accordingly, the assigning is completed in a short time.

Claims: A method of controlling a mobile robot system having a control station (C) and a plurality of mobile robots (R1-Rn) which travel to work points (W1-Wn) as instructed by the control station and carry out tasks instructed by the control station at the said work points, the control method characterised by the steps of: a) Storing tasks to be assigned to said mobile robots (R1-Rn); b) Instructing mobile robots (R1-Rn) in the system having no assigned tasks to evaluate the stored unassigned tasks, wherein each unassigned mobile robot evaluates each said unassigned task by: i) Determining the best travel route for travelling to the respective work point at which each unassigned task is to be carried out; and ii) Generating an evaluation value for each said unassigned task in dependence on the best travel route therefor; c) Creating an evaluation table (Figure 1) containing the evaluation values generated by said unassigned mobile robots (R1-Rn); d) Selecting the optimum evaluation value from the table (Figure 1), selecting the mobile robot (R1-Rn) and task associated with the said optimum value and assigning the selected mobile robot to the selected task; e) Deleting from the table (Figure 1) all of the evaluation values associated with the selected mobile robot (R1-Rn) and all of the evaluation values associated with the selected task; and f) Repeating steps (d) and (e). A method as claimed in claim 1, wherein the mobile robots (R1-Rn) are instructed simultaneously to carry out their assigned tasks.

Inventors: ONISHI MASANORI, ONISHI, MASANORI, Onishi, Masanori, c/o Shinko Electric Co.,Ltd.
Applicants: SHINKO ELECTRIC CO LTD, SHINKO ELECTRIC CO. LTD.
Application year: 1992
Main classification: G05D1
IPC codes: G05B13, G05D1, G05B19