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.

A management system is a management system which includes a remote work system having at least one master unit and a plurality of slave units which can be remotely operated and a management server, in which each of the plurality of slave units includes a gripping unit that is configured to grip a target, grip the target by means of autonomous control, and, when being connected to the master unit by the management server, grip the target by means of a remote operation by the master unit, the master unit is configured to perform the remote operation on the plurality of slave units, and the management server includes an operation management unit that is configured to connect the master unit and the plurality of slave units when a remote operation is required.

A control device for robot arm is provided that comprises: an elastic member comprising a palm portion and a finger portion, the palm portion being coupled to the finger portion, the elastic member being adapted to receive a part of body of a user; a detecting electrode located on an inner surface of the palm portion and configured to detect a surface electromyogram signal of the part of body for identifying a gesture of the part of body of the user; a sensor located on the elastic member for acquiring data relating to a three-dimensional motion of the part of body of the user to identify the three-dimensional motion of the part of body of the user, wherein the surface electromyogram signal and the data relating the three-dimensional motion are adaptable to be used to control the robot arm to perform the gesture and the three-dimensional motion.

The present invention comprises: a wearable sensor that is worn by a worker, the wearable sensor having a sensor that receives sensor data from a sensing object, and a transmitter that transmits to a terminal the sensor data received by the sensor; and a computer that determines operation content for the worker on the basis of the sensor data received from the wearable sensor, and outputs the result of the determination to a display unit.

A system and a method for controlling a system are described. The system includes a plurality of sensors configured to be worn on a user's body. The plurality of sensors are configured to generate a plurality of signals in response to forces applied by corresponding portions of a user's body. The system also includes a processor configured to receive the plurality of signals. The processor is configured to identify commands from the user based at least partly on the plurality of signals and an operational range and/or null space of the plurality of signals for a task being performed by the user. The processor is configured to control an operation of the system based on the identified commands.

A system for demonstrating a task to a robot includes a glove, sensors, and a controller. The sensors measure task characteristics while a human operator wears the glove and demonstrates the task. The task characteristics include a pose, joint angle configuration, and distributed force of the glove. The controller receives the task characteristics and uses machine learning logic to learn and record the demonstrated task as a task application file. The controller transmits control signals to the robot to cause the robot to automatically perform the demonstrated task. A method includes measuring the task characteristics using the glove, transmitting the task characteristics to the controller, processing the task characteristics using the machine learning logic, generating the control signals, and transmitting the control signals to the robot to cause the robot to automatically execute the task.

A sleeve worn on an arm allows detection of gestures by an array of sensors. Electromyography, inertial, and magnetic field sensors provide data that is processed to categorize gestures and translate the gestures into commands for robotic systems. Machine learning allows training of gestures to increase accuracy of detection for different users.

A manipulator system configured to perform a work to a workpiece being moved by a moving device, includes a robotic arm, having one or more joints and to which a tool configured to perform the work to the workpiece is attached, an operating device configured to operate the robotic arm, a first imaging means configured to image the workpiece, while following the movement of the workpiece, a second imaging means fixedly provided in a work area to image a situation of the work to the workpiece, a displaying means configured to display an image imaged by the first imaging means and an image imaged by the second imaging means, and a control device configured to control the operation of the robotic arm based on an operating instruction of the operating device, while detecting a moving amount of the workpiece being moved by the moving device and carrying out a tracking control of the robotic arm according to the moving amount of the workpiece.

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.

A system includes a tool, an input device, a shape sensor system, and a processing unit. The processing unit is configured to determine a state estimate of the input device based on shape information from the shape sensor system, and control the tool based on the state estimate.