Abstract:
A method for transporting inventory items includes determining an assignment state of a mobile drive unit. The method also includes selecting a location for the mobile drive unit based on the assignment state of the mobile drive unit, in response to determining that the mobile drive unit is not currently completing a task. The method further includes transmitting information to the mobile drive unit identifying the selected location.
Abstract:
PROBLEM TO BE SOLVED: To provide a robot and so forth capable of executing a task in an appropriate condition from the viewpoint of execution economy even when the task state is changed. SOLUTION: A cost is evaluated that represents load or work required for a robot to execute a new task, and the cost information indicating this cost is sent to a support server 200 (bid procedure). The support server 200 specifies the robot having the lowest cost and sends an execution instruction for executing the new task to the specified robot. The robot executes the task according to the execution instruction (contract procedure). By employing this task bid and contract system, a specified task is executed by an adequate robot R among a plurality of robots R in consideration of the execution economy of the specified task. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To generate the optimum route in a searching space expressed by grids. SOLUTION: This route planning device 13 is provided with: an edge generating unit 21 that, on the assumption that each grid is a node, and that the cost from a starting point to an arbitrary node is that of the arbitrary node, and that the minimum cost node among the top end nodes positioned at the top end of an edge is a notable node, extends the edge up to neighboring nodes positioned at the front and obliquely right and left fronts of the notable node; an edge cost calculating/reading-out unit 22 that regards such a node as the standard node that is counted up by a predetermined number in the direction of the starting point along the route from the notable node, and reads out the shortest distance (first distance) from the standard node to the neighboring node and the shortest distance (second distance) from the standard node to the notable node from a database; a route cost calculating unit 23 that calculates the route cost from the starting point to the neighboring node as the sum of the costs of the route-composing edges; and a route determining unit 24 that selects the route of the minimum cost from the starting point to the terminating point. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
다중 운반 로봇의 동적 작업 분배 방법 및 시스템을 개시한다. 본 개시의 일 측면에 의하면, 작업분배장치가 제1 내지 제M(M은 자연수) 작업을 제1 내지 제N(N은 자연수) 무인운반로봇(Unmanned Ground Vehicle, UGV)에게 분배하는 방법으로서, 상기 제1 내지 제M 작업에 대해, 작업별 주행 경로를 고려하여 작업별 필요운용거리를 산출하는 과정; 상기 제1 내지 제N 무인운반로봇에 대해, 무인운반로봇별 정상운용속도 및 운용가능 배터리 시간을 고려하여 상기 무인운반로봇별 최대운용가능거리를 산출하는 과정; 및 상기 작업별 필요운용거리 및 상기 무인운반로봇별 최대운용가능거리에 기초하여 상기 제1 내지 제N 작업을 각각 하나 이상의 무인운반로봇에게 할당하는 과정을 포함하는 것을 특징으로 하는 작업분배방법을 제공한다.
Abstract:
PROBLEM TO BE SOLVED: To provide an unmanned carrier transport system and unmanned carrier transport method in which the gradient of a traveling path can be estimated with high accuracy.SOLUTION: An unmanned carrier is made to travel on a predetermined traveling path a plurality of times. A computer 31 acquires information of at least a loading weight, a traveling speed and a travel acceleration of the unmanned carrier when the unmanned carrier is made to travel on the predetermined traveling path a plurality of times, estimates the gradients of respective traveling paths when the unmanned carrier is made to travel on the traveling path on the basis of the acquired information, and performs averaging processing of the estimated gradients of the respective traveling paths.