Abstract: Techniques for automating a software application subscription process are presented herein. In an example, in response to receiving a subscription request from a client device, a subscription automator extracts a plurality of parameters from the subscription request. Also, the subscription automator retrieves a given script template from an automation framework, where the given script template corresponds to a given cloud service application to which one or more users wish to subscribe. The subscription automator generates an executable script by populating the first script template with the plurality of parameters. Next, the subscription automator causes the first executable script to be executed to initiate a subscription process of the given cloud service application. Then, the subscription automator creates subscriptions to the given cloud service application for the one or more users as a result of initiating the subscription process.

Abstract: A robotic system to control multiple robots to perform a task cooperatively is disclosed. A first robot determines to perform a task cooperatively with a second robot, moves independently to a first grasp position to grasp an object associated with the task, receives an indication that the second robot is prepared to perform the task cooperatively, and moves the object independently of the second robot in a leader mode along a trajectory determined by the first robot. The second robot assists the first robot in performing the task cooperatively, at least in part by moving independently to a second grasp position, grasping the object, and cooperating with the first robot to move the object, at least in part by operating in a follower mode of operation to maintain engagement with the object as the first robot moves the object along the trajectory.

Abstract: A robotic system comprising an end effector-mounted sensor is disclosed. In various embodiments, a robotic arm is manipulated to move a sensor to a position such that an object of interest is within a read range of the sensor. A sensor data read by the sensor is received via a communication interface. The sensor data is used to determine an attribute of the object; and the determined attribute of the object is used to determine a plan to grasp and move the object.

Abstract: A velocity control-based robotic system is disclosed. In various embodiments, sensor data is received from one or more sensors deployed in a physical space in which a robot is located. A processor is used to determine based at least in part on the sensor data an at least partly velocity-based trajectory along which to move an element comprising the robot. A command to implement the velocity-based trajectory is sent to the robot.

Abstract: A robotic singulation system is disclosed. In various embodiments, sensor data image data associated with a plurality of items present in a workspace is received. The sensor data is used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workspace and place each item singly in a corresponding location in a singulation conveyance structure. The plan includes performing an active measure to change or adapt to a detected state or condition associated with one or more items in the workspace.

Abstract: A robotic system to control multiple robots to perform a task cooperatively is disclosed. A first robot determines to perform a task cooperatively with a second robot, moves independently to a first grasp position to grasp an object associated with the task, receives an indication that the second robot is prepared to perform the task cooperatively, and moves the object independently of the second robot in a leader mode along a trajectory determined by the first robot. The second robot assists the first robot in performing the task cooperatively, at least in part by moving independently to a second grasp position, grasping the object, and cooperating with the first robot to move the object, at least in part by operating in a follower mode of operation to maintain engagement with the object as the first robot moves the object along the trajectory.

Abstract: The present application discloses a system, a method, and a computer system for correlating information to facilitate automated sortation. The method includes (i) receiving, by one or more processors, a first optical sensor data comprising a first element of routing data required to route an item but not a second element of routing data required, in addition to the first element, to route the item, (ii) obtaining the second element of routing data from a second optical sensor data, and (iii) causing the item to be routed based at least in part on the first element of routing data and the second element of routing data.

Abstract: A robotic singulation system is disclosed. In various embodiments, sensor data image data associated with a plurality of items present in a workspace is received. The sensor data is used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workspace and place each item singly in a corresponding location in a singulation conveyance structure. The plan includes performing an active measure to change or adapt to a detected state or condition associated with one or more items in the workspace.

Abstract: A method of extending a conversational computing interface comprises obtaining data-flow traces indicating computational steps that occur based on execution of a nonnative skill implemented in a nonnative programming language of the conversational computing interface. A native computer-executable plan is automatically generated. The generated native computer-executable plan represents the data-flow traces in a native programming language of the conversational computing interface. The conversational computing interface is automatically trained based on the native computer-executable plan and a conversational event associated with the native computer-executable plan.

Abstract: A velocity control-based robotic system is disclosed. In various embodiments, sensor data is received from one or more sensors deployed in a physical space in which a robot is located. A processor is used to determine based at least in part on the sensor data an at least partly velocity-based trajectory along which to move an element comprising the robot. A command to implement the velocity-based trajectory is sent to the robot.

Abstract: The present application discloses a system, a method, and a computer system for correlating information to facilitate automated sortation. The method includes (i) receiving, by one or more processors, a first optical sensor data comprising a first element of routing data required to route an item but not a second element of routing data required, in addition to the first element, to route the item, (ii) obtaining the second element of routing data from a second optical sensor data, and (iii) causing the item to be routed based at least in part on the first element of routing data and the second element of routing data.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens. In some embodiments, an optical window is disposed in the hollow chamber and is optically coupled to the output surface of the lens such that the light exiting the lens passes through the optical window before exiting the light module. In some embodiments, the shoulder can be formed as part of the housing.

Abstract: A method and system for obtaining an identifier from an item is disclosed. The method includes autonomously operating a robotic structure having a robotic arm to pick an item using an end effector of the robotic arm along a predetermined path from a source location to a destination location according to a plan. The picked item is moved according to the plan. An active measure is determined to be performed at least in part to obtain an identifier determined to be missing based on information received via the communication interface from one or more sensors. The robotic structure is autonomously operated to place the item at the destination location based at least in part on the plan.

Abstract: In one aspect, a light module is disclosed, which includes a housing providing a hollow chamber extending from a proximal end to a distal end, and a lens positioned in the hollow chamber, where the lens has a lens body comprising an input surface for receiving light from a light source and an output surface through which light exits the lens body, said lens further comprising a collar at least partially encircling said lens body. The light module further includes at least one shoulder on which the lens collar can be seated for positioning the lens within the housing. A light source, e.g., an LED, is coupled to the hollow chamber, e.g., at its proximal end, for providing light to the lens. In some embodiments, an optical window is disposed in the hollow chamber and is optically coupled to the output surface of the lens such that the light exiting the lens passes through the optical window before exiting the light module. In some embodiments, the shoulder can be formed as part of the housing.

Abstract: A method and system for obtaining an identifier from an item is disclosed. The method includes autonomously operate a robotic structure to move an item along a predetermined path from a source location to a destination location, and autonomously operating the robotic structure to place the item at the destination location based at least in part on the plan. The item comprises one or more identifiers, and in response to a determination that at least one of the one or more identifiers was not obtained by one or more sensors, an active measure is performed to cause the one or more sensors to obtain the at least one identifier that was not obtained. The predetermined path corresponds to a path along which the item is moved from the source location to the destination location. The predetermined path is planned so that the item is moved within a threshold range of the one or more sensors while the item is moved along the predetermined path.

Abstract: A robotic system to control multiple robots to perform a task cooperatively is disclosed. A first robot determines to perform a task cooperatively with a second robot, moves independently to a first grasp position to grasp an object associated with the task, receives an indication that the second robot is prepared to perform the task cooperatively, and moves the object independently of the second robot in a leader mode along a trajectory determined by the first robot. The second robot assists the first robot in performing the task cooperatively, at least in part by moving independently to a second grasp position, grasping the object, and cooperating with the first robot to move the object, at least in part by operating in a follower mode of operation to maintain engagement with the object as the first robot moves the object along the trajectory.

Abstract: A method for training a dialogue learning model includes presenting, via a user interface of a computing device, an utterance and a list of actions based on the utterance. A selection of an action from the list of actions is received via the user interface. A designated span of the utterance is received via the user interface. The selected action and the designated span of the utterance is provided to a computing system for training the dialogue learning model.

Abstract: The present application discloses a system, a method, and a computer system for moving items deemed to be too heavy to be picked up by a robotic arm. The method includes (i) receiving sensor data from one or more sensors associated with a source conveyor configured to convey items to a pick location, (ii) determining, based at least in part on the sensor data, that an item that is too heavy to be lifted by a robotic arm controlled by the one or more processors has entered the source conveyor, and (iii) providing an output indicating that the item too heavy to be lifted by the robotic arm has been detected.

Abstract: A robotic singulation system that provides an automated visual indication for human intervention is disclosed. In various embodiments, the system includes a communication interface; and a processor coupled to the communication interface and configured to: receive via the communication interface an indication of an error with respect to a receptacle comprising a conveyance structure; and in response to the indication, cause a visual indication to be provided with respect to the receptacle as it is moved through a workspace by the conveyance structure.

Abstract: A robotic system to control multiple robots to perform a task cooperatively is disclosed. A first robot determines to perform a task cooperatively with a second robot, moves independently to a first grasp position to grasp an object associated with the task, receives an indication that the second robot is prepared to perform the task cooperatively, and moves the object independently of the second robot in a leader mode along a trajectory determined by the first robot. The second robot assists the first robot in performing the task cooperatively, at least in part by moving independently to a second grasp position, grasping the object, and cooperating with the first robot to move the object, at least in part by operating in a follower mode of operation to maintain engagement with the object as the first robot moves the object along the trajectory.