Embodiments relate to a device for correcting a robotic arm, including: a first robotic arm positioned in a vacuum transmission chamber; a first jig wafer comprising a first wafer body and a first jig positioned on a front surface of the first wafer body; a first distance measuring sensor positioned at a center position of a back surface of the first wafer body and configured to detect whether a center of the first jig wafer is aligned with a center of a wafer chuck; a second distance measuring sensor positioned on the front surface of the first wafer body and on an outside of the first jig and configured to detect a lifting height of the first robotic arm when the first robotic arm controls a pick-and-place operation the first jig wafer on an upper surface of the wafer chuck.

The present invention provides a method for monitoring a balanced state of a humanoid robot, comprising: acquiring state data of the robot falling in different directions and being stable, forming a support vector machine (SVM) training data set and obtaining, by training, an initial SVM classifier; inputting the state data of the robot to the trained SVM classifier, so that the SVM classifier outputs a classification result; taking statistics on a proportion of cycles judged to have an impending fall in the total number of control cycles within a judgment buffer time after the SVM classifier outputs the classification result, and finally determining a monitoring result of the balanced state of the robot according to the proportion and finally extracting state data of misjudged cycles within the buffer time, adding the state data to the current training data set and updating the SVM classifier, eventually enabling the classifier to achieve the effects of matching motion capabilities of the robot and monitoring the balanced state.

A system for moving items in a facility may be described herein. The system may instruct components of the system to move the items at different speeds or velocities based on an item's fragility rating. A fragility rating may indicate an amount of force that an item withstands prior to damaging the item. A fragility rating for an item may be determined based on known fragility ratings of items with similar item metrics.

A universal actuator for driving a continuum arm robot having a plurality of tendons includes; a housing; a power supply pack with a power source; a control pack with an industrial programmable logic controller, a screen, a rotary encoder linked to an analogue input device, a digital output device, a plurality of electronic control cards that connect the programmable logic controller to a user input device, the rotary encoder and an actuator pack for controlling the motion of the continuum arm robot, the programmable logic controller or the screen having a computer program to allow for set up and control of the continuum arm robot.

A gripper includes at least one movable finger. Each movable finger includes a first motor, a second motor, a first motor link having a first end coupled to a rotor of the first motor, a second motor link having a first end coupled to a rotor of the second motor, a finger link having a first end in pivotal connection with a second end of the second motor link and a gripper pad, and a connecting link having a first end in pivotal connection with a second end of the first motor link and a second end in pivotal connection with the finger link. The gripper further includes at least one controller programmed or configured to actuate the first motor and the second motor of each of the at least one movable finger.

The gait motion assisting device according to the present invention replicates movement of user's leg including thigh and lower leg around hip joint by pendulum movement of a rod-like rigid body, estimates hip joint angle and hip joint angular velocity of thigh calculated based on equation of motion of the pendulum movement by a state estimator using angle-related signal received from a thigh orientation detecting means as the observation, calculates the thigh phase angle using the estimated hip joint angle and the estimated hip joint angular velocity, and outputs assisting force having torque value calculated based on the thigh phase angle.

The present invention relates to a movement-dependent stabilisation support system (100) for stabilising a moving body (200), which comprises a plurality of sensors (110), a plurality of actuators (120) and a control unit (130). The plurality of sensors (110) continuously detects movement parameters of the body (200), on which basis the control unit (130) determines whether there is an instability of the body (200). If it is determined that there is an instability, the control unit (130) selects a stabilisation strategy, according to which the actuators (120) are controlled. When controlled, the actuators (120) attached to the body (200) stiffen and limit the freedom of movement of the body (200), such that a movement in the direction of the imminent unstable state is prevented or suppressed. In this way, the body (200) is supported in its stabilisation and an imminent fall is prevented.

A robot system includes a robot having an arm including a first arm coupled to a base and pivoting about a first pivot axis and a second arm coupled to the first arm and pivoting about a second pivot axis parallel to the first pivot axis, and a first motor pivoting the first arm about the first pivot axis, and a control apparatus having a first motor control unit that controls the first motor. The robot has an inertial sensor that detects an angular velocity about a roll axis of the arm or an acceleration in a tangential direction of a circle around the roll axis, and the first motor control unit controls the first motor based on the angular velocity or acceleration.

Methods and systems according to one or more examples are provided for testing an automated platform, such as a robot. In one example, a system comprises a first robot configured to perform one or more processing operations on a workpiece. The system further comprises a second robot configured to simulate one or more parameters of the workpiece and an associated processing operation to provide one or more test conditions corresponding to each of the one or more processing operations the first robot would perform on the workpiece to test the first robot.

An inspection robot, and methods and a controller thereof are disclosed. An inspection robot may include an inspection chassis including a plurality of inspection sensors and coupled to at least one drive module to drive the robot over an inspection surface. The inspection robot may also include a controller including an inspection data circuit to interpret inspection base data, an inspection processing circuit to determine refined inspection data, and an inspection configuration circuit to determine an inspection response value in response to the refined inspection data. The controller may further include an inspection response circuit to, in response to the inspection response value, provide an inspection command value while the inspection robot is interrogating the inspection surface.