A functional safety system performs safety analysis on three-dimensional point cloud data measured by a time-of-flight (TOF) sensor that monitors a hazardous industrial area that includes an automation system. To reduce the amount of point cloud data to be analyzed for hazardous conditions, the safety system executes a real-time emulation of the automation system using a digital twin and live controller data read from an industrial controller that monitors and controls the automation system. The safety system generates simulated, or shadow, point cloud data based on the emulation and subtracts this simulate point cloud data from the measured point cloud data received from the TOF sensor. This removes portions of the point cloud data corresponding to known or expected elements within the monitored area. Any remaining entities detected in the reduced point cloud data can be further analyzed for safety concerns.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating safety trajectories. One of the methods comprises causing, by a robotic control system, execution of a robotic control plan by a plurality of robotic components in a robotic execution environment; generating a safety trajectory at each of a plurality of time points during the execution of the robotic control plan, including: obtaining data identifying a current position of a particular robotic component of the plurality of robotic components; generating, using the obtained data, a safety trajectory for the particular robotic component; and providing the safety trajectory to an emergency control system; determining that an emergency condition has been met; and in response, transferring control of the particular robotic component from the robotic control system to the emergency control system, comprising causing, by the emergency control system, execution of the safety trajectory by the particular robotic component.

An exemplary multi-robot system can include, for example, a first robot(s), which can include a communication arrangement and a sensor arrangement configured to detect a presence of an object(s) within a predetermined distance from the first robot(s), and determine a distance from the first robot(s) to the object(s), where the first robot(s) can broadcast a query to the object(s) using the communication arrangement, identify the object(s) as a second robot(s) or a non-robot based on a response received from the object(s). The sensor arrangement can be a Light Detection and Ranging (LiDAR) sensor arrangement. The LiDAR sensor arrangement can be a two-dimensional LiDAR sensor arrangement.

A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.

The present invention relates to a system for detecting the collision of a robot manipulator using an artificial neural network. The system may comprise: joint driving units provided in a plurality of joints of the robot manipulator to drive the plurality of joints, respectively; encoder units provided on sides of the joint driving units to measure the angles of the plurality of joints; and a neural network calculation unit for training the neural network with a large amount of data and inferring, via a preprocessing calculation, to detect that the plurality of joints collide with the outside.

Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for generating safety information for a motion plan for one or more robots in an operating environment. One of the methods includes: obtaining a definition of the motion plan, obtaining data specifying a safety footprint volume for a first robot in the operating environment, obtaining one or more safety constraints for the motion plan according to the safety footprint volume for the first robot, determining whether a first safety constraint of the one or more safety constraints is satisfied, in response to determining that the first safety constraint is not satisfied, generating information indicating a violation of a safety constraint.

A method is provided for running a collision protection system for a medical operating device, which has a patient bed for a patient to be operated on, an image recording device having at least one movable image recording component for recording image data of the patient during the operation, and an assistance robot having a movable assistance component which during the operation is situated at least temporarily inside the patient and/or is coupled in terms of movement to an instrument situated inside the patient. In the method, an item of criticality information is determined which describes the criticality of possible collisions of components of the operating device and/or movements of the patient with regard to the interaction of the assistance robot with the patient. Depending upon the criticality information, when a criticality criterion indicating a raised criticality, (e.g., a criticality exceeding a threshold value), is met, a safe mode of operation of the collision protection system is activated, which meets higher safety requirements than a normal mode of operation.

A robot system can include a main body; a manipulator installed on the main body; a sensor configured to detect an object approaching a restricted region including the manipulator; a camera configured to monitor the restricted region and the object approaching the restricted region; a storage configured to store a material for an operation of the manipulator, the storage including an inlet for receiving the material; a remaining amount sensor configured to detect an amount of the material remaining in the storage; and a controller configured to change the restricted region based on at least one of a result of detection of the remaining amount sensor and image information of the camera, and in response to the sensor detecting that the object is within the restricted region, stop manipulation of the manipulator.

An equipment control system includes a control unit. The control unit is configured to control equipment based on an authority. The authority is set for each of a plurality of individuals and a relative positional relationship. The relative positional relationship is a relative positional relationship between the equipment and each of the plurality of individuals.

To provide a robot system that can easily generate a complete 3D point group for a measurement object. A robot system including: a robot including an arm; a 3D sensor provided to the arm; and a 3D point group generation unit for generating a 3D point group of a measurement object according to 3D data obtained by measurement of the measurement object with the 3D sensor, wherein the 3D point group generation unit generates the 3D point group of the measurement object by combining 3D data from measurement of the measurement object while repositioning the 3D sensor in response to the motion of the arm in any coordinate system in a working area of the robot.