An indicator related to work performed through a plurality of hierarchical processes is predicted efficiently with high accuracy. The information processing device stores sample data in association with each parameter representing work, the sample data including an indicator generated by execution of lower-level simulation based on a lower-level model set for a lower-level process, and the information processing device predicts an indicator related to predicted work by performing higher-level simulation using the sample data associated with a parameter similar to a parameter representing the predicted work, the higher-level simulation being based on a higher-level model which is set for a higher-level process. If sample data associated with a parameter similar to the parameter representing the predicted work is not stored, the information processing device complements sample data by performing lower-level simulation and performs higher-level simulation using the complemented sample data.

According to one embodiment, a processing system sets a detector to a prescribed position. The detector includes a plurality of detection elements arranged along a first direction and a second direction. The second direction crosses the first direction. The processing system causes the detector to perform a probe of a weld portion of a joined body. The probe includes a transmission of an ultrasonic wave and a detection of a reflected wave. The processing system calculates a center position of the weld portion in a first plane along the first and second directions based on intensity data. The intensity data is of an intensity of the reflected wave obtained by the probe. The processing system performs a position adjustment of moving the detector along the first plane to reduce a distance between the center position and a position of the detector in the first plane.

A system for receiving and delivering packages to a building having a package receiving station, a delivery robot and a control system. The package receiving station having a display, an input device, a package receiving area, a robot loading area, at least one package manipulation devices, and a computing device, and the delivery robot capable of interacting with the package receiving station to receive packages to be delivered, such that the package receiving station is capable of receiving a package at the package receiving area, moving it to the robot loading area and loading the package onto the delivery robot and the control system is capable of notifying a recipient of the arrival of the package, coordinating a delivery time, and initiating a package delivery whereby the package is loaded onto the delivery robot and delivered to a location within the building and delivers the package.

A robot controller includes a storage unit that stores load information including a mass and a center of gravity position of a load to be attached to a robot; a lead-through control unit that controls the robot comprising a sensor that detects an external force, based on the external force detected by the sensor and the load information stored in the storage unit; and a load suitability determining unit that determines whether or not the load information stored in the storage unit is suitable. In response to the load suitability determining unit determining that the load information has a possibility of being unsuitable, the lead-through control unit performs a restriction on a movement of the robot.

A device for acquiring a position and orientation of an end effector of a robot is provided. The robot has a robot arm with axes coupled to one another by joints. The end effector is arranged on an end of the robot arm, optical markers are arranged on first and second axes, and a number of joints between the end effector and the first axis is lower than a number of joints between the end effector and the second axis. An optical sensor acquires image data of the optical markers. A storage device stores a kinematic model of the robot arm. An evaluation device, in a first case, determines a first position of a first optical marker and the position and orientation of the end effector and, in a second case, a second position of a second optical marker and the position and orientation of the end effector.

The present application relates to the field of error detection technology. An error detection method and a robot system are provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm; recognizing, based on the plurality of pose identifications, an angle identification located on the end of the operating arm, the angle identification having a position association relationship with a first pose identification of the plurality of pose identifications; determining, based on the angle identification and the plurality of pose identifications, an actual pose of the end of the operating arm; and generating, in response to the target pose and the actual pose meeting an error detection condition, a control signal related to a fault.

The present application relates to the field of error detection technology. An error detection method is provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm, the plurality of pose identifications including different pose identification patterns; determining an actual pose of the end of the operating arm based on the plurality of pose identifications; and generating a control signal related to a fault in response to the target pose and the actual pose meeting an error detection condition.

A computerized method for estimating joint friction in a joint of a robotic wrist of an end effector. Sensor measurements of force or torque in a transmission that mechanically couples a robotic wrist to an actuator, are produced. Joint friction in a joint of the robotic wrist that is driven by the actuator is computed by applying the sensor measurements of force or torque to a closed form mathematical expression that relates transmission force or torque variables to a joint friction variable. A tracking error of the end effector is also computed, using a closed form mathematical expression that relates the joint friction variable to the tracking error. Other aspects are also described and claimed.

A method for managing elevator operation, a device for managing elevator operation, an elevator system and a computer-readable storage medium. The method for managing elevator operation includes: establishing a communication connection with at least one of robots movably arranged in a preset area; receiving data information from the robot, the data information including elevator service information generated by the robot based on input information related to an elevator visitor; and controlling the operation of the elevator and/or the operation of at least another one of the robots according to the received data information.

The disclosure provides a dynamic interaction-oriented subject's limb time-varying stiffness identification method and device. The method includes: the combination of subject's limb displacement and measured force data or the combination of angle and measured torque data is collected; based on the time-varying dynamic system constructed based on a second-order impedance model, the linear parameter varying method is utilized to substitute the time-varying impedance parameters and reconstruct the restoring force/torque expression; iterative identification is performed on variable weights, dynamic interaction force/torque, and restoring force/torque by using time-varying dynamic parameters based on the dynamic interaction force/torque expression expanded from basis function; the time-varying stiffness is solved by using variable weights and dynamic interaction force/torque according to expression with substituted the time-varying impedance parameters. The disclosure not only improves the accuracy of the time-varying stiffness identification technology but also expands the application scenarios of the time-varying stiffness identification technology.