Abstract: A robot management device 3X mainly includes an external input necessity determination means 35X and an operation terminal determination means 36X. The external input necessity determination means 35X determines whether or not a control based on an external input is necessary for a robot which executes a task. The operation terminal determination means 36X determines an operation terminal which generates the external input, based on operation terminal information, which includes information concerning types of a plurality of operation terminals to be candidates in order to generate the external input, and information concerning the task, when the control based on the external input is necessary.

Abstract: A control device 1X mainly includes an operation planning means 17Y, a display control means 15Y, and a correction receiving means 16Y. The operation planning means 17Y determines a first operation plan of a robot which executes a task in which an object is used. The display control means 15Y displays trajectory information regarding a trajectory of the object based on the first operation plan. The correction receiving means 16Y receives a correction relating to the trajectory information based on an external input. Then, the operation planning means 17Y determines a second operation plan of the robot based on the correction received by the correction receiving means 16Y.

Abstract: An assistance control device 2X mainly includes an assistance request acquisition means 25X and a selection means 26X. The assistance request acquisition means 25X is configured to acquire assistance request information for requesting assistance, by external input, regarding a task to be executed by a robot. The selection means 26X is configured, if the assistance request information for plural tasks to be executed by plural robot is acquired, to select a task to be subjected to the assistance based on the assistance request information and work information regarding the plural robots.

Abstract: A control device 1X mainly includes an operation sequence generation means 16X, a first robot control means 171X, a switching determination means 18X, and a second robot control means 172X. The operation sequence generation means 16X is configured to generate an operation sequence of a robot. The first robot control means 171X is configured to perform a first robot control that is a control of the robot based on the operation sequence. The switching determination means 18X is configured, during execution of the first robot control, to determine, based on the operation sequence, whether or not to switch to a second robot control, which is a control of the robot based on an external input. The second robot control means 172X is configured, if it is determined by the switching determination means 18X that the switching is required, to perform the second robot control.

Abstract: A determination device 1X mainly includes a proposition determination means 18X. The proposition determination means 18X performs a completion determination of a task based on a first proposition representing a current state of the task and a second proposition representing a completion state of the task, in which the first proposition and the second proposition are detected by a sensor, when an operation sequence concerning the task has completed or when a predetermined time length has lapsed from a start of the task.

Abstract: An information collecting device 3X mainly includes an information acquisition means 35X and a task identifier setting means 36X. The information acquisition means 35X is configured to acquire work related information relating to a work of a robot. Examples of the information acquisition means 35X include the information acquisition unit 35 in the first example embodiment. The task identifier setting means 36X is configured to set an identifier of a task executed by the robot to the work related information.

Abstract: An operation range setting device 1X includes a first recognition means 15Xa, a second recognition means 15Xb, and an operation range setting means 17X. The first recognition means 15Xa is configured to recognize positions of plural reference objects. The second recognition means 15Xb is configured to recognize combinations of reference objects, the combinations each being selected to be a pair of the reference objects from the plural reference objects. The operation range setting means 17X is configured to set an operation range of a robot based on line segments, the line segments each connecting a pair of the reference object for each of the combinations.

Abstract: A ranging error calculation device 1 includes a ranging information acquisition means 11, and a ranging error distribution information generation means 12. The ranging information acquisition means 11 is configured to acquire ranging information in time series with respect to a ranging target point for each of one or more feature information of the ranging target point. The ranging error distribution information generation means 12 is configured, based on the ranging information, to generate ranging error distribution information, for the each of one or more feature information, regarding an error distribution in measured distance from a ranging device to the ranging target point.

Abstract: A control device 1A mainly includes an operation sequence generation means 17A. The operation sequence generation means 17A is configured to generate, based on recognition results Ra relating to types and states of objects present in a workspace where a robot which performs a task and another working body perform cooperative work, an operation sequence Sa to be executed by the robot.

Abstract: A self-propelled device includes a host device movement vector acquisition unit that is configured to acquire a host device movement vector including a movement speed of the self-propelled device and a distance information acquisition unit that is configured to acquire nearby device distance information including a distance and a direction to the self-propelled device for each of nearby devices located near the self-propelled device. The self-propelled device further includes a nearby device movement vector acquisition unit that is configured to acquire a nearby device movement vector including a movement speed and a movement direction of each of the nearby devices for each of the nearby devices and a determination unit that is configured to determine whether a group movement is possible or not for each of the nearby devices based on the nearby device distance information, the host device movement vector and the nearby device movement vector.

Abstract: The control device 1A mainly includes a determination means 15A, an abstract state setting means 16A, and a sequence generation means 17A. The determination means 15A determines, based on at least one of environment information relating to environment observed in a workspace of a controlled device to be controlled, state information relating to a state of the controlled device, and stored information that is stored information relating to the objective task to be executed by the controlled device, whether or not the objective task can be completed. The abstract state setting means 16A sets, when determined that the objective task cannot be completed, an abstract state in the workspace based on at least one of the environment information or the stored information. The sequence generation means 17A generates, based on the abstract state and the objective task, a sequence of subtasks to be executed by the controlled device.

Abstract: A control device 1A mainly includes a display control means 15A and an operation sequence generation means 16A. The display control means 15A is configured to transmit display information S2 relating to a task to be executed by a robot to a display device 2A. The operation sequence generation means 16A is configured, in a case that the display control means 15A has received, from the display device 2A, task designation information that is input information which schematically specifies the task, to generate an operation sequence to be executed by the robot based on the task designation information Ia.

Abstract: A control device 1A includes a task group generation means 16A and an operation sequence generation means 17A. The task group generation means is configured to generate, in a case where multiple tasks to be executed by one or more robots are designated, one or more task groups obtained by classifying the multiple tasks. The operation sequence generation means 17A is configured to generate one or more operation sequences of the one or more robots for completing the multiple tasks so as to put completion time of tasks included in the one or more task groups close to one another.

Abstract: A control device 1C includes an operation sequence generation means 37C. The operation sequence generation means 37C is configured to generate, based on robot operation information Jr indicating operation characteristics of a robot executing a task and peripheral equipment information Ip indicating operation characteristics of peripheral equipment which delivers or receives an object relating to the task to or from the robot, operation sequences Sra and Spa indicating operations to be executed by the robot and the peripheral equipment, respectively.

Abstract: In a robot control system, a storage unit stores a plurality of programs corresponding to tasks for a robot to perform. A reception unit receives selections made by a user, which designate a task for the robot to perform and attribute information related to a program causing the robot to perform the task among the plurality of programs. An acquisition unit acquires the program for performing the task among the plurality of programs from the storage unit based on the task and the attribute information. A robot control unit controls the robot in accordance with the acquired program.

Abstract: An evaluation target period acquiring unit acquires an evaluation target period based on an evaluation timing included by evaluation index information that includes at least an evaluation index to be evaluated and the evaluation timing of the evaluation index. A control target extracting unit extracts a control target whose control timing is included in the evaluation target period as a first control target from control target information that includes at least the control target to be the target of a control plan in an operation and the control timing of each control target. A control planning unit calculates the control plan maximizing the evaluation index with the first control target as a variable and state information that is information necessary for calculation of a control achievement at a time of planning and the control plan, as a constraint condition.

Abstract: Provided is a work management device for arranging a worker in consideration of a change of work efficiency. In a work management device 10, an index acquisition unit 11 acquires, for each work section, a work evaluation index calculated based on work history performed by a worker. A duration time acquisition unit 12 acquires a duration time for which a work status of the worker is the work evaluation index. A cost acquisition unit 13 acquires a cost incurred when the worker moves between the work sections. A determination unit 14 acquires an estimated work amount performed by the worker until the duration time is elapsed. The determination unit 14 determines, based on the estimated work amount and cost, arrangement of the workers in the plurality of work sections in such a way as to increase work efficiency in a whole of a work range.

Abstract: An object is to provide a model generation apparatus capable of generating a model for implementing a more precise simulation. Firstly, an object to be reconstructed on a 3D model is extracted from 3D image information, and an object model having a highest shape conformity degree with the object is acquired from among a plurality of object models available on the 3D model, and is associated with size information and disposed-place information of the object. Next, for each of acquired object models, the extracted object model is edited so as to conform with the size information of the object. Then, the edited object model is disposed on the 3D model so that the object model satisfies a physical constraint on the 3D model and conforms with the disposed-place information.

Abstract: An evaluation target period acquiring unit acquires an evaluation target period based on an evaluation timing included by evaluation index information that includes at least an evaluation index to be evaluated and the evaluation timing of the evaluation index. A control target extracting unit extracts a control target whose control timing is included in the evaluation target period as a first control target from control target information that includes at least the control target to be the target of a control plan in an operation and the control timing of each control target. A control planning unit calculates the control plan maximizing the evaluation index with the first control target as a variable and state information that is information necessary for calculation of a control achievement at a time of planning and the control plan, as a constraint condition.

Abstract: A self-propelled device includes a host device movement vector acquisition unit that is configured to acquire a host device movement vector including a movement speed of the self-propelled device and a distance information acquisition unit that is configured to acquire nearby device distance information including a distance and a direction to the self-propelled device for each of nearby devices located near the self-propelled device. The self-propelled device further includes a nearby device movement vector acquisition unit that is configured to acquire a nearby device movement vector including a movement speed and a movement direction of each of the nearby devices for each of the nearby devices and a determination unit that is configured to determine whether a group movement is possible or not for each of the nearby devices based on the nearby device distance information, the host device movement vector and the nearby device movement vector.