A system for autonomously measuring workpieces, the system comprising one or more mobile robots, configured to move autonomously in a production environment with a plurality of production facilities that produce a plurality of different workpieces, each of the mobile robots comprising a spatial localization system for deriving a location of the mobile robot in the production environment, an autonomous navigation and propulsion unit configured for providing mobility of the mobile robot in the production environment, a wireless communication interface providing a data link to at least one other mobile robot and/or to computation and storage system, wherein a first mobile robot comprises a sensor setup comprising one or more sensors and is configured to use one or more of the sensors for identifying a workpiece to be measured and for determining an at least rough position of the workpiece that allows collecting or measuring the workpiece.

Systems and methods for detecting a waste receptacle, the system including a camera for capturing an image, a convolutional neural network, and processor. The convolutional neural network can be trained for identifying target waste receptacles. The processor can be mounted on the waste-collection vehicle and in communication with the camera and the convolutional neural network configured for using the convolutional neural network. The processor can be configured for using the convolutional neural network to generate an object candidate based on the image; using the convolutional neural network to determine whether the object candidate corresponds to a target waste receptacle; and selecting an action based on whether the object candidate is acceptable.

A Device and method for removing animal carcasses from an animal housing facility having a manipulator for collecting dead animals when the manipulator is located in a predetermined relative position with respect to the dead animal, an actuator for moving the manipulator inside the animal housing facility, a camera to identify and locate the dead animal, and a processor to move the actuator to a rough position of a dead animal, use the camera to steers the actuator to the precise position of the dead animal, controls the manipulator to collect the dead animal, and move the actuator to a predetermined disposal location and deposits the dead animals.

A robot control apparatus according to one or more embodiments may include: a calculating unit configured to calculate an interference range of a robot based on a model of the robot in a state in which an object is gripped by a gripper with which the robot is equipped; and a planning unit configured to plan a motion of the robot based on the model and the interference range.

Devices, systems, and methods for time calibration. The method comprises determining a first reference position of a robot in a robot coordinate system based on first feedback information received from the robot; determining an association between the first reference position and first sensing information receive from a sensor; receiving, from the robot, second feedback information associated with a second motion of the robot and, from the sensor, second sensing information associated with the second motion; and determining a time delay between a sensing time point when a sensing position of the robot in the second motion is sensed by the sensor and a recording time point when the sensing position is recorded by the robot in the second motion.

A continuum arm robot system comprising at least a first continuum arm robot and a second continuum arm robot, each continuum arm robot being controlled by its own actuator pack, and each actuator pack being coupled to a single control computer, wherein at least the second continuum arm robot comprises a releasable connection mechanism to engage in gripping the first continuum arm robot in a workspace, so as to link the at least two continuum arm robots into a single redundant robotic system with at least the second continuum arm robot providing support for the first continuum arm robot.

Disclosed is a method for the automated transfer of an intraocular lens (1) comprising an optical lens body (10) and two haptics (11) attached to a peripheral edge of the optical lens body (10) and extending outwardly from the peripheral edge of the optical lens body (10). The method comprises the steps of: picking the intraocular lens (1) up at a start location; moving the intraocular lens (1) to a destination location; releasing the intraocular lens (1) at the destination location,
wherein picking the intraocular lens (1) up at the start location comprises gripping the intraocular lens (1) only at the haptics (11) of the intraocular lens (1).

A computing system including a processing circuit in communication with a robot and a camera having a field of view. The processing circuit obtains image information based on the objects in the field of view and a loading environment, the loading environment which includes loading areas, an object queue, and a buffer zone. The computing system is configured to use the obtained image information in motion planning operations for the retrieval and placement of objects from the object queue into the loading environment. Pallets provided within the loading environment (i.e., within the loading areas) are dedicated to receiving objects having corresponding object type identifiers. The computer system further uses the image information to determine the fill status of pallets existing within the loading environment, and whether new pallets need to be brought into the loading environment and/or swapped out with existing pallets to account for future planning and placement operations.

A gripping method relates to a method for gripping an object using a multi-fingered hand provided with a plurality of fingers. The method includes measuring, using a three-dimensional measurement sensor, an area that contains the object, and obtaining three-dimensional information for each position within the area, and deciding positions of the plurality of fingers for gripping the object, by classifying the area, if the area includes a measured area for which the three-dimensional information could be obtained and an unmeasured area for which the three-dimensional information could not be obtained, into the measured area and the unmeasured area based on the distance-indicating information, the positions of the plurality of fingers being decided based on positions of the unmeasured area.

A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.