Example robotic process automation systems and methods are described. In one implementation, a processing system receives one or more configuration options for a Bot, where the configuration options are associated with a design specification for the Bot. The processing system generates the Bot using the configuration options and instantiates the Bot on the processing system. A workflow associated with the design specification is executed by the Bot.

An approach for fully automating the use of robotic devices in a laboratory workflow includes defining sequences for automating tasks and equipment involved in such a workflow, and calculating a path for each sequence that resolves get, handoff, and placement procedures. The approach develops a schedule that executes resolved pathways in and between each device. The approach is provided with an easy-to-use interface, in which a user drags and drops devices to automatically configure them, defines operations to be performed by these devices, and then runs the laboratory workflow. The interface also provides the ability to monitor progress of the workflow, and make modifications and adjustments as needed.

To provide a controller capable of facilitating changing of the order of robot cells, a control system, and a ladder program. A master PLC includes a master input unit that receives a first input signal indicating the order of operation of robot cells, and a second input signal indicating work completion in the robot cells from each of the plurality of robot cells; a master output unit that outputs an output signal for instruction of operation to the robot cell specified on the basis of combination of the first input signals, and the second input signal according to the ladder program; and a storage unit that stores a plurality of the ladder programs corresponding to a plurality of patterns of the order of operation comprising at least some of the plurality of robot cells.

A lab automation system receives an instruction from a user to perform a protocol within a lab via an interface including a graphical representation of the lab. The lab includes a robot and set of equipment rendered within the graphical representation of the lab. The lab automation system identifies an ambiguous term of the instruction and pieces of equipment corresponding to the ambiguous term and modifies the interface to include a predictive text interface element listing the pieces of equipment. Upon a mouseover of a listed piece of equipment within the predictive text interface element, the lab automation system modifies the graphical representation of the lab to highlight the listed piece of equipment corresponding to the mouseover. Upon a selection of the listed piece of equipment within the predictive text interface element, the lab automation system modifies the instruction to include the listed piece of equipment.

A cloud computing-based server includes: a personalization code information receiving unit configured to receive personalization code information from a mobile device; a feedback data receiving unit configured to receive feedback data of the service from the mobile device, the smart device or the robot; a data receiving unit configured to receive, from an information processing center, standard customized information generated based on preset criteria depending on purpose and use of the service, a standard avatar program and a standard smart program; an optimization customized information generation unit configured to generate optimization customized information based on the personalization code information, the feedback data and the standard customized information; an optimization avatar program generation unit configured to generate an optimization avatar program to be executed on the mobile device based on the personalization code information, the feedback data and the standard avatar program; and an optimization smart program generation unit.

The disclosure generally relates to methods and systems for enabling human robot interaction by cognition sharing which includes gesture and audio. Conventional techniques that use the gestures and the speech, require extra hardware setup and are limited to navigation in structured outdoor driving environments. The present disclosure herein provides methods and systems that solves the technical problem of enabling the human robot interaction with a two-step approach by transferring the cognitive load from the human to the robot. An accurate shared perspective associated with the task is determined in the first step by computing relative frame transformations based on understanding of navigational gestures of the subject. Then, the shared perspective transformed to the robot in the field view of the robot. The transformed shared perspective is then given to a language grounding technique in the second step, to accurately determine a final goal associated with the task.

An electronic apparatus for a database construction and control of a robotic manipulator is provided. The electronic apparatus stores information associated with a task of a robotic manipulator. The electronic apparatus further receives a first plurality of signals from a first plurality of sensors associated with a wearable device. The electronic apparatus further applies a predefined model on a first set of signals of the first plurality of signals. The electronic apparatus further determines arrow direction information based on the application of the predefined model on the first set of signals. The electronic apparatus further aggregates the determined arrow direction information with information about the first set of signals to generate output information. The electronic apparatus further stores the generated output information for each of a first plurality of poses performed for the task using the wearable device.

A robot program generation apparatus that selects a typical arrangement pattern of a robot system; selects elements to be arranged in the arrangement pattern; automatically generates a layout where the elements in a stationary state do not interfere with each other; automatically generates a robot program in accordance with task details corresponding to the arrangement pattern and with the layout; executes the robot program in a virtual environment and automatically modifies installation positions of the elements in the layout based on whether or not the robot in an operating state interfere with any other elements and on whether or not the robot can reach a workpiece; and corrects the robot program based on the installation positions.

A program generation device includes a display; at least one memory configured to store an operation symbol including information in relation to an operation command of a robot, and an auxiliary symbol including information in relation to a control command for adding an operation of the robot or for correcting the operation of the robot defined by at least one operation symbol; and at least one processor configured to obtain information in relation to setting of at least one of the operation symbol or the auxiliary symbol, and cause the display to display the operation symbol and the auxiliary symbol so as to align the operation symbol and the auxiliary symbol in order of operations of the robot based on the obtained information in relation to setting.

A numerical control system 1 comprises a numerical control device 5 that generates a machine tool command signal as a command directed to a machine tool 2, in accordance with a machine tool numerical control program, and generates a robot command signal as a command directed to a robot 3, in accordance with a robot numerical control program, and a robot control device 6 that is capable of communicating with the numerical control device 5, and controls an operation of the robot 3 on the basis of the robot command signal. The robot control device 6 acquires form information that is information necessary for identifying the form of the robot 3, and transmits the form information to the numerical control device 5. The numerical control device 5 generates a robot command signal on the basis of the form information transmitted from the robot control device 6 and the robot numerical control program.