A device, method, and computer program product, the device comprising: a calibration block having a planar area, the planar area comprising at least three marking elements, located at three corners of at least one triangle, wherein a processor used for calibrating a robot-based production environment comprising at least a first component, is adapted to:

receive parameters of the calibration block; receive a position of a calibration block reference point of the calibration block relative to a component reference point of a first component of a robot-based production environment; receive a set of locations of the at least three marking elements of the calibration block taken when the calibration block is positioned on the first component; and based on the parameters, the position and the set of locations, determine a position and orientation of the first component in a coordinate system of the robot-based production environment.

Provided is a work management system enabling real-time inspection by simultaneously performing work and measurements. The work management system includes a tool including a communication unit and a trigger switch, a camera unit including a communication unit, a camera capable of identifying 3D camera coordinates from an image, a posture detecting device configured to acquire camera posture information, a control unit, and a prism, and a surveying instrument including a communication unit, a tracking unit, a distance-measuring unit, an angle-measuring unit, and a control unit, wherein upon detection that the trigger switch has been used, the camera unit collects camera posture information by the posture detecting device, a tool image by the camera, position coordinates of the prism measured by the surveying instrument, and orientation information of the camera unit viewed from the surveying instrument, and obtains and stores position coordinates of a tip end position of the tool.

A medical observation apparatus includes an imaging device that captures an observation target, an arm that supports the imaging device and includes multiple links joined to each other by multiple joints, and driving circuitry. The driving circuitry is configured to determine a control torque in at least one joint to be controlled from among the multiple joints and to control driving of the at least one joint based on the control torque such that an external torque acting on the at least one joint according to an operation on the arm is within a fixed range.

A work robot system includes, a work robot and a work robot control unit that perform work on a target part of an object conveyed by a conveyer device, a measurement robot, a sensor that is attached to the measurement robot and that detects a position of a detection target of the object conveyed by the conveyer device, a measurement robot control unit that moves, through control of the measurement robot, the sensor in accordance with conveyance of the object, in order to detect the position, and a force detector that is used when force control is performed. When the work robot performs the work, the work robot control unit performs force control while performing control of the work robot based on a detection result of the sensor.

Provided is a machine-learning device which can efficiently perform machine learning. The machine-learning device comprises: a vision execution unit which captures an image of an object W by means of a visual sensor by executing a vision execution command from a robot program, and detects or determines the object W from the captured image; a result acquisition unit which acquires the detection result or the determination result for the object W by executing a result acquisition command from the robot program; an additional annotation unit which gives a label to the captured image on the basis of the detection result or the determination result for the image of the object W by executing an annotation command from the robot program, and acquires new training data; and a learning unit which performs machine learning by using the new training data by executing a learning command from the robot program.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

On the basis of a measured shape, which is a three-dimensional shape of a subject measured by means of a measuring unit using an image captured when an image capturing unit is disposed in a first position and a first attitude, a movement control unit determines a second position and a second attitude for capturing an image of the subject again, and sends an instruction to a movement mechanism. The three-dimensional shape is represented by means of height information from a reference surface. The movement control unit extracts, from the measured shape, a deficient region having deficient height information, and determines the second position and the second attitude on the basis of the height information around the deficient region of the measured shape. The position and attitude of the image capturing unit can be determined in such a way as to make it easy to eliminate the effects of shadows.

A vision-guided picking and placing method for a mobile robot that has a manipulator having a hand and a camera, includes: receiving a command instruction that instructs the mobile robot to grasp a target item among at least one object; controlling the mobile robot to move to a determined location, controlling the manipulator to reach for the at least one object, and capturing one or more images of the at least one object using the camera; extracting visual feature data from the one or more images, matching the extracted visual feature data to preset feature data of the target item to identify the target item, and determining a grasping position and a grasping vector of the target item; and controlling the manipulator and the hand to grasp the target item according to the grasping position and the grasping vector, and placing the target item to a target position.

A control apparatus for a robot including a three-dimensional sensor to measure a scan area includes a position determiner that determines, based on positions of a plurality of ranges in the scan area, a plurality of measurement positions at each of which the three-dimensional sensor performs measurement of a corresponding range of the plurality of ranges, an operation controller that controls the robot to move and cause the three-dimensional sensor to move to each of the plurality of measurement positions, and an area definer that defines an area including an object in the scan area based on a result of measurement performed by the three-dimensional sensor at each of the plurality of measurement positions.

A control apparatus for a robot including a three-dimensional sensor includes an operation controller that controls the robot to shift a measurement range of the three-dimensional sensor in a scan area, and a map obtainer that updates map information based on a result of measurement performed by the three-dimensional sensor. The map information indicates a scan status at each of a plurality of points in the scan area. The operation controller performs first scanning in which the measurement range of the three-dimensional sensor is shifted to update map information about a local range in the scan area, and performs second scanning in which the measurement range of the three-dimensional sensor is shifted away from the local range to update map information about a range different from the local range for which the first scanning is performed to update map information.