Patent classifications
G05B2219/40314
System and method for context-driven predictive simulation selection and use
The present approach employs a context-aware simulation platform to facilitate control of a robot remote from an operator. Such a platform may use the prior domain/task knowledge along with the sensory feedback from the remote robot to infer context and may use inferred context to dynamically change one or both of simulation parameters and a robot-environment-task state being simulated. In some implementations, the simulator instances make forward predictions of their state based on task and robot constraints. In accordance with this approach, an operator may therefore issue a general command or instruction to a robot and based on this generalized guidance, the actions taken by the robot may be simulated, and the corresponding results visually presented to the operator prior to evaluate prior to the action being taken.
Programming device which generates operation program and method for generating program
A programming device capable of reducing the operator's work involved in generating an operation program for a robot. The programming device includes a model arrangement section which places a workpiece model, a robot model, and an imaging section model in a virtual space, a target-portion extracting section which extracts a target portion of the workpiece model in accordance with a certain extraction condition, a simulating section which. moves the imaging section model or the workpiece model to an imaging position, and a program generating section which generates an operation program for causing the imaging section to capture the portion to be captured, based on positional data of the robot model when the robot model positions the imaging section model or the workpiece model at the imaging position.
Method of Controlling a Robot And a Robot Control System
The invention is concerned with a robot control system and a method of controlling a robot where the robot control system includes a human-machine interface; a real robot control environment including a real robot and a real robot controller controlling the real robot and a cloud-hosted robot control environment including a virtual robot controller, which is a replica of the real robot controller, where the human-machine interface is configured to transfer a robot change instruction from a user to the cloud-hosted robot control environment, the virtual robot controller is configured to validate the robot change instruction and the real robot controller is configured to apply the validated robot change instruction when controlling the real robot.
SYSTEM AND METHOD FOR CONTEXT-DRIVEN PREDICTIVE SIMULATION SELECTION AND USE
The present approach employs a context-aware simulation platform to facilitate control of a robot remote from an operator. Such a platform may use the prior domain/task knowledge along with the sensory feedback from the remote robot to infer context and may use inferred context to dynamically change one or both of simulation parameters and a robot-environment-task state being simulated. In some implementations, the simulator instances make forward predictions of their state based on task and robot constraints. In accordance with this approach, an operator may therefore issue a general command or instruction to a robot and based on this generalized guidance, the actions taken by the robot may be simulated, and the corresponding results visually presented to the operator prior to evaluate prior to the action being taken.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
A technology for reproducing a communication mode of a field network on a computer is desired. An information processing device includes first and second actuator emulators, first and second controller emulators, and a storage device that stores first and second data. The first controller emulator calculates first command value for the first actuator emulator using the first data as an input at each first control period and updates the second data with data that is a collection target. The second controller emulator calculates second command value for the second actuator emulator using the second data as an input at each second control period and updates the first data with the data that is the collection target.
SCAN PLANNING AND SCAN OPERATIONS FOR WELDING AN OBJECT
Disclosed are systems, methods, and apparatuses, including computer programs encoded on computer storage media, for operation of an assembly robotic system. In one aspect, the assembly robotic system performs at least one of a first or second scan operation. In the first scan operation, one or more scan poses is selected from among a plurality of generated candidate poses. For each scan pose of the one or more scan poses, the controller initiates a scan operation associated with a region identified to include a seam associated with a feature of the object. As part of the second scan operation, for each candidate scan pose, a scan operation is simulated. Based on the generated simulated scan data, multiple scan poses are selected and a scan trajectory is generated for a scan operation. Other aspects and features are also claimed and described.
SCAN PLANNING AND SCAN OPERATIONS FOR WELDING AN OBJECT
Disclosed are systems, methods, and apparatuses, including computer programs encoded on computer storage media, for operation of an assembly robotic system. In one aspect, the assembly robotic system performs at least one of a first or second scan operation. In the first scan operation, one or more scan poses is selected from among a plurality of generated candidate poses. For each scan pose of the one or more scan poses, the controller initiates a scan operation associated with a region identified to include a seam associated with a feature of the object. As part of the second scan operation, for each candidate scan pose, a scan operation is simulated. Based on the generated simulated scan data, multiple scan poses are selected and a scan trajectory is generated for a scan operation. Other aspects and features are also claimed and described.
PROGRAMMING DEVICE WHICH GENERATES OPERATION PROGRAM AND METHOD FOR GENERATING PROGRAM
A programming device capable of reducing the operator's work involved in generating an operation program for a robot. The programming device includes a model arrangement section which places a workpiece model, a robot model, and an imaging section model in a virtual space, a target-portion extracting section which extracts a target portion of the workpiece model in accordance with a certain extraction condition, a simulating section which. moves the imaging section model or the workpiece model to an imaging position, and a program generating section which generates an operation program for causing the imaging section to capture the portion to be captured, based on positional data of the robot model when the robot model positions the imaging section model or the workpiece model at the imaging position.
Suspended robot recovery
A robot system includes a robot; a peripheral device disposed around the robot; a control unit configured to operate at least the robot based on a program; a suspension unit configured to suspend a plurality of sequential operations performed by the robot in conjunction with the peripheral device based on an operation program if an irregular state occurs in the peripheral device; and a simulator. The simulator is configured to generate a recovery program based at least on a robot state information of the robot at the time of suspending the operation due to an occurrence of the irregular state, in which the control unit is further configured to cause the robot to operate with respect to the peripheral device based on the recovery program so that an operation by the suspended operation program becomes resumable.
SIMULATION APPARATUS OF ROBOT, SIMULATION METHOD OF ROBOT, CONTROL UNIT AND ROBOT SYSTEM
A movable range of angle of each of the plurality of joints and a safety region defined within the movable range are set. An angle command value is generated to each of the plurality of joints, based on current angle data and a distal end position command value. A fault avoidance control is carried out to make a change rate of the angle command value small, when the angle command value is generated to either of the plurality of joints, and the angle command value of the joint exceeds the safety region.