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.

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 method and corresponding apparatus for collision-free motion planning of a first manipulator in a first working space and a second manipulator in a second working space, wherein the first and second working spaces at least partially overlap. The method includes the steps of importing a first dynamic roadmap for a first configuration space of the first manipulator, wherein the first dynamic roadmap includes a first search graph and a first mapping between the first working space and the first search graph, and importing a second dynamic roadmap for a second configuration space of the second manipulator, wherein the second dynamic roadmap includes a second search graph and a second mapping between the second working space and the second search graph. Furthermore, the motion of the first manipulator and the second manipulator are coordinated based on the first dynamic roadmap and the second dynamic roadmap.

A control device 1B includes a preprocessor 21B, a translator 22B and an intention detector 23B. The preprocessor 21B is configured to generate movement signals of a target human 10C subjected to assistance by processing a detection signal Sd outputted by a first sensor which senses the target human 10C. The translator 21B is configured to identify a gesture of the target human 10C by use of the movement signals Sd, the gesture being expressed by a pose and/or movement of the target human 10C. The intention detector 23B is configured to detect an intention of the target human 10C based on history of an event and the identified gesture, the event relating to the assistance.

In an embodiment, a method includes determining a given material to manipulate to achieve a goal state. The goal state can be one or more deformable or granular materials in a particular arrangement. The method further includes, for the given material, determining, a respective outcome for each of a plurality of candidate actions to manipulate the given material. The determining can be performed with a physics-based model, in one embodiment. The method further can include determining a given action of the candidate actions, where the outcome of the given action reaching the goal state is within at least one tolerance. The method further includes, based on a selected action of the given actions, generating a first motion plan for the selected action.

Methods and systems are described for robot transportation of objects into or out of a home automation system. One example may include determining, by a mobile robotic device, that an object is available to cross a boundary of the home automation system. The method may include deactivating at least a portion of the home automation system. The method also include retrieving, by the mobile robotic device, the object and transporting, by the mobile robotic device, the object across the boundary. The method further includes leaving, by the mobile robotic device, the object at a drop-off location. The method may also include reactivating at least the portion of the home automation system.

A robot and a controlling method thereof are provided. The robot includes a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: based on detecting a user interaction, acquire information on a behavior tree corresponding to the user interaction, and perform an action corresponding to the user interaction based on the information on the behavior tree, wherein the behavior tree includes a node for controlling a dialogue flow between the robot and a user.

Systems and methods described herein are directed to an environment involving a plurality of robots, wherein for receipt of a plurality of orders, the systems and methods generate a plurality of task batches to fulfill the plurality of orders; generate a parameter set for execution by the plurality of robots to execute the plurality of task batches. For a determination by a controller that one or more of the plurality of robots is to execute the plurality of task batches, the systems and methods load the parameter set; and control the one or more of the plurality of robots based on the loaded parameter set to execute the task batch.

A robotic arm system for surgery is described. The method includes: processing circuitry configured to: apply a virtual barrier preventing a human controlled surgical device from entering an area within a surgical scene; and release the virtual barrier in response to a gesture.

Various embodiments are directed to operator workstations that improve efficiency of handling operations at an object handling environment. In one aspect, an operator workstation for handling a plurality of objects is provided. The operator workstation includes a workbench platform having a configurable number of sub-platforms upon which objects can be disposed. The operator workstation further includes a plurality of sensors configured to collect sensor data for detection of object presences and object states of objects disposed upon the workbench platform. The operator workstation further includes a plurality of equipment configured to control movement of objects disposed upon the workbench platform. In various embodiments, different subsets of the sensors and equipment are configured for network communication via different network services provided by a wireless network. For instance, network communication may be provided to different sensors and equipment via different network slices of a 5.sup.th generation new radio (5G) cellular network.