G05B19/427

Robot teaching apparatus
11345019 · 2022-05-31 · ·

A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.

Robot teaching apparatus
11345019 · 2022-05-31 · ·

A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.

METHOD, SYSTEM AND NONVOLATILE STORAGE MEDIUM
20220143830 · 2022-05-12 ·

Disclosed herein is a method, system, and non-volatile storage medium for simplifying the automation of a process of flow. The method may include determining a machine-independent process model based on data representing a handling of a work tool for performing a process flow. The process flow may include a plurality of sub-processes and the process model may link a process activity with spatial information for each sub-process. The method may also include mapping the machine-independent process model to a machine-specific control model of a machine using a model of the machine. The machine-specific control model may define an operating point of the machine for each sub-process, and the operating point may correspond to the process activity and to the spatial information.

Method and apparatus for controlling robot

A method and an apparatus for controlling a robot are provided. According to one aspect of the present disclosure, the method can include receiving information on a work type of robot motion performed by the robot; generating workflow of the robot motion based upon the received information on the work type of the robot motion; measuring information on work environment in which the robot motion is performed in accordance with the work type and the workflow of the robot motion by controlling the robot; receiving work information on the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot; and performing the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot based upon the measured information on the work environment and the received work information on the robot motion.

Method and apparatus for controlling robot

A method and an apparatus for controlling a robot are provided. According to one aspect of the present disclosure, the method can include receiving information on a work type of robot motion performed by the robot; generating workflow of the robot motion based upon the received information on the work type of the robot motion; measuring information on work environment in which the robot motion is performed in accordance with the work type and the workflow of the robot motion by controlling the robot; receiving work information on the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot; and performing the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot based upon the measured information on the work environment and the received work information on the robot motion.

METHOD FOR CONTROLLING A MANIPULATION ROBOT AND DEVICE IMPLEMENTING SUCH A METHOD

A method for controlling a robot (1) for handling a part to be handled (14), the handling robot (1) being linked to a control interface comprising a glove (40) comprising a first finger (41) provided with a first contact sensor (42) and a second finger (43) provided with a second contact sensor (44), the method comprising the following steps; a) associating, in a signal library (25), a first and a second recorded combination of signals (26, 21); b) acquiring a combination of signals originating from the sensors (26, 27) of the glove (40); c) comparing the acquired combination of signals with the recorded combinations (27, 28, 29) in the library (25); d) controlling the handling robot (1) in such a way as to perform a movement according to the velocity vector associated with the acquired combination of signals A handling glove (40) and handling device implementing the method.

PATH GENERATION FOR MANUAL ROBOT TEACHING
20230286153 · 2023-09-14 ·

A robot system includes: a robot; a robot controller configured to control the robot based on sequential taught positions; and a teaching device communicative with the robot controller and configured to receive operations by an operator, wherein the robot controller includes circuitry configured to: generate, in response to determining that a target position is designated by the operator on the teaching device, a path from a current position of the robot to the target position by simulation of moving the robot based on surrounding environmental information of the robot; and move the robot toward the target position along the generated path.

Physician input device for a concentric tube surgical robot

A highly intuitive physician input device for communication with a minimally invasive endoscopic concentric tube surgical robot. The physician input device can comprise a user interface handle assembly, a user interface linear joint assembly, a user interfaced bearing block assembly, and a user interface base assembly, and sensors distributed throughout to measure each of these axes, possibly redundantly for safety. Due to the network of sensors and encoders built in to the physician input device, it is capable of triggering a movement in the endoscopic concentric tube robot corresponding to that of the movements made on the physician input device. There are at least four movement controls the physician input device is capable of communicating to the concentric tube robot, those being translation, pan, tilt, and axial rotation. In some embodiments a fifth control includes actuation of a tool such as a gripper.

Physician input device for a concentric tube surgical robot

A highly intuitive physician input device for communication with a minimally invasive endoscopic concentric tube surgical robot. The physician input device can comprise a user interface handle assembly, a user interface linear joint assembly, a user interfaced bearing block assembly, and a user interface base assembly, and sensors distributed throughout to measure each of these axes, possibly redundantly for safety. Due to the network of sensors and encoders built in to the physician input device, it is capable of triggering a movement in the endoscopic concentric tube robot corresponding to that of the movements made on the physician input device. There are at least four movement controls the physician input device is capable of communicating to the concentric tube robot, those being translation, pan, tilt, and axial rotation. In some embodiments a fifth control includes actuation of a tool such as a gripper.

ROBOT CONTROL DEVICE, ROBOT SYSTEM, AND ROBOT CONTROL METHOD

A robot control device includes: a trained model built by being trained on work data; a control data acquisition section which acquires control data of the robot based on data from the trained model; base trained models built for each of a plurality of simple operations by being trained on work data; an operation label storage section which stores operation labels corresponding to the base trained models; a base trained model combination information acquisition section which acquires combination information when the trained model is represented by a combination of a plurality of the base trained models, by acquiring a similarity between the trained model and the respective base trained models; and an information output section which outputs the operation label corresponding to each of the base trained models which represent the trained model.