Provided is a robot including a microphone configured to acquire a sound signal corresponding to a sound generated near the robot, a camera, an output interface including at least one of a display configured to output a wake-up screen or a speaker configured to output a wake-up sound when the robot wakes up, and a processor configured to recognize whether the acquired sound includes a voice of a person, activate the camera when the sound includes a voice of a person, recognize whether a person is present in an image acquired by the activated camera, set a wake-up word recognition sensitivity based on a recognition result as to whether a person is present, and recognize whether a wake-up word is included voice data of a user acquired through the microphone based on the set wake-up word recognition sensitivity.

The present disclosure provides a bioprinting system (100) for printing a liquid directly onto a subject. The bioprinting system (100) comprises a bioprinting assembly (102). Optionally, a robotic arm (104) and a control system (150) are provided. The bioprinting assembly (102) may be coupled to the robotic arm (104) to be positionable relative to the subject. The bioprinting assembly (102) is configured to dispense the liquid onto the subject and comprises a reservoir (120) for holding the liquid and a loading mechanism (134) to prime the reservoir (120) with the liquid directly prior to printing. The loading mechanism (134) has a one way inlet to permit liquid to be loaded into the reservoir (120) and prevent fluid from exiting the reservoir via the one way inlet. There is also provided associated methods.

A component installation system includes an engagement clamp having a circular shape coupled to a robotic arm, being configured to engage an annular component. The component installation system further includes an actuator coupled to the engagement clamp and operable to cause the engagement clamp to engage and disengage the annular component, and a heating element coupled to the engagement clamp and arranged to heat the annular component engaged within the engagement clamp. The component installation system further includes a controller in communication with the robotic arm, the actuator and the heating element.

A system includes a moveable element adapted to move relative to a coordinate system defined for a robot, an object detection transceiver unit adapted to be mounted on the moveable element, and a controller. The controller controls the object detection transceiver unit to emit a signal and obtain a return signal for an operational cell of the robot at each of a series of predetermined positions to emulate a transceiver aperture larger than an aperture of the object detection transceiver unit. A location corresponding to a marker present in the operational cell is determined from the return signals. A predetermined operation is carried out where the predetermined operation includes using the determined location to guide movement of the robot.

According to one embodiment of the present disclosure, there is provided a transfer apparatus comprising at least one arm configured to support a substrate; at least one gear disposed at a joint that rotatably supports the at least one arm, the at least one gear rotating the at least one arm; and a detector disposed to face the at least one gear and configured to detect a temperature of the at least one gear without contacting the at least one gear.

A system and method for collecting data regarding operation of a robot using, at least in part, responses from a first operation model to an input of sensed data from a plurality of sensors. The collected data can be used to optimize the first operation model to generate a second operation model. While the first operation model is being optimized, a train data-driven model that utilizes an end-to-end learning approach can be generated that is based, at least in part, on the collected data. Both the second operation model and the train data-driven model can be evaluated, and, based on such evaluation, a determination can be made as to whether the train data-driven model is reliable. Moreover, based on a comparison of the models, one of the second operation model and the train data-driven model can be selected for validation, and if validated, used in the operation of the robot.

A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

A method of calibrating a virtual force sensor of a robot manipulator, wherein in a plurality of poses, the method comprises: applying an external wrench to the robot manipulator ascertaining an estimate of the external wrench, ascertaining a respective cost function based on a difference between the determined estimate of the external wrench and a specified external wrench, ascertaining a respective calibration function by minimizing the respective cost function, and storing the respective calibration function in a data set of all calibration functions with assignment of the respective calibration function to a respective pose for which the respective calibration function was ascertained.

System for automatically manipulating primary packaging in secondary packaging, comprising a robot having at least one robot arm with a clamping gripper installed at a tool centre point, wherein each tool centre point has a force-torque sensor, an image recording module for recording images of at least the upper segment of the primary packaging, comprising at least two stereo cameras for recording 3-D images, and one or more processors for providing a three-dimensional point cloud, controlling the image recording module and controlling the robot on the basis of the analysis of the three-dimensional point cloud and the measurements from the force-torque sensors.

A conveyance robot system according to the present disclosure includes an intrusion detection sensor that detects an intrusion of an object into the arm opening, and a distance sensor that measures a clearance distance indicating a distance between an arm entry/exit surface and a shelf, the arm entry/exit surface being a surface of the conveyance robot in which the arm opening is provided from among surfaces of the conveyance robot 1 constituting the safety cover, and the object being stored in the shelf. The distance sensor is disposed at a fixed height of the shelf in a horizontal direction and at a height of the shelf corresponding to a part to be measured.