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.

A system includes an inspection robot comprising a plurality of sensor sleds; a plurality of ultra-sonic (UT) sensors; a couplant chamber mounted to each of the plurality of sleds, each couplant chamber comprising: a cone, the cone comprising a cone tip portion at an inspection surface end of the cone; a sensor mounting end opposite the cone tip portion; a couplant entry fluidly coupled to the cone at a position between the cone tip portion and the sensor mounting end; and wherein each of the UT sensors is mounted to the sensor mounting end of one of the couplant chambers.

In one embodiment, a cloud computer system is disclosed for controlling a plurality of remote devices comprising a cloud server including a cloud based operating system comprising a data model stored in a computer memory. The data model includes commands performed by a plurality of remote devices in a remote system and, for each remote device, one or more operations for triggering processes executed by the remote device. The cloud based operating system generates a set of instructions from the plurality of commands and corresponding operations to control a portion of the remote devices to perform a task.

Provided is a moving robot system including a moving robot and a charging station. The charging station includes a camera formed to capture the moving robot, a communication unit configured to communicate with the moving robot, a charging contact unit configured to charge the moving robot, and a control unit configured to control the camera to receive a preview image obtained by capturing the moving robot on the basis that the moving robot having been in contact with the charging contact unit is separated from the charging contact unit. The control unit performs different types of control on the basis of whether information indicating that the moving robot is being separated from the charging contact unit is received before the moving robot is separated from the charging contact unit.

Messaging systems and methods for routing messages between network nodes of a distributed computing system are disclosed. The messaging system includes a plurality of network nodes. Each network node includes a shared memory comprising a shared memory region configured to store messages, a publisher, and a first bridge module. The first bridge module determines if a subscriber for a shared memory region of that network node exists on a remote network node, where the remote network node does not include the publisher. Upon determining that the subscriber exists on the remote network node, the first bridging module reads a plurality of messages from the shared memory region, and transmits the plurality of messages to a second bridge module of the remote network node. The second bridge module is configured to write the plurality of messages to a remote memory region on the remote network node.

In one aspect the invention relates to a sorting system (SortS) for sorting processed parts (P) from a workpiece (W), which has been processed by a laser processing machine (L), in particular a laser sheet processing machine, comprising:—A working table (WT) for supporting the workpiece (W) with the processed parts (P), which have been processed by the processing machine (L),—A fleet of interacting legged mobile robots (MR) for sorting the processed parts (P) in a collaborative manner to a target destination.

A counter unit, a counter unit control method, a control device, and a control system are provided. A counter unit (10) executes an output to an actuator (40) at a time point when a waiting time indicated by a timing adjustment value (Ta) received from PLC (20) has elapsed since it was determined that an actual measurement value obtained by using a pulse signal has matched with a target value.

The present invention is directed towards the secure management of authorization data and automated processing of instructions in a robotic process automation environment, which allows the management of secrets within such a platform. Secrets may be credentials, access rights, passwords, keys or the like. The underlying message flow can be implemented as a computer implemented software protocol in a distributed RPA (robotic process automation) environment. The invention is furthermore directed towards a respectively arranged system arrangement along with a computer program product and a computer-readable medium.

A robot application is executed by executing a plurality of kinds of virtual containers in cooperation with each other. To this end, a robot application management device (100), at least one robot device (300) and at least one computer device (400) are connected to each other via a local area network (600). A group of devices including these devices are managed as a cluster for executing the robot application, and each virtual container is placed and activated in any of the group of devices composing the cluster.

The present disclosure provides a robotic arm control method as well as an apparatus and a terminal device using the same. The method includes: obtaining a current joint angle of each of M joints of the robotic arm; obtaining a reference included angle based on the current joint angle of each of the M joints of the robotic arm; determining an expected included angle corresponding to the robotic arm within a target angle range based on the reference included angle and the preset included angle related evaluation function; and controlling the robotic arm based on the target joint angles of the M joints.