A robot includes a plurality of joints including a first joint and a second joint that rotates in a direction different from a rotation direction of the first joint, a plurality of arm members including a first arm member provided to be rotatable with respect to a base via the first joint, and a first angular velocity sensor provided in the first arm member or the first joint. A first inertial sensor is provided in the first arm member (or a portion that rotates together with the first arm member in the first joint). The plurality of joints are controlled on the basis of an output of the first inertial sensor.

A robot system according to the present disclosure includes a robot installed in a work area, a manipulator configured to be gripped by an operator and manipulate the robot, a sensor disposed at a manipulation area and configured to wirelessly detect positional information and posture information on the manipulator, and a control device which calculates a locus of the manipulator based on the positional information and the posture information on the manipulator detected by the sensor, and operates the robot on real time.

A pose determination method and a robot using the same are provided. The method includes: obtaining a two-dimensional code image collected by the camera of the robot and sensor data collected by the sensor of the robot, and determining mileage information of the robot within a predetermined duration, where the sensor data includes an acceleration and an angular velocity, determining a first pose of the camera based on two-dimensional code information recognized from the two-dimensional code image and a pose estimation function, and determining a second pose of the sensor based on the sensor data; obtaining a third pose by performing a tight coupling optimization based on the first pose and the second pose; and obtaining the pose of the robot by fusing the third pose and the mileage information. In such a manner, the accuracy of determining the pose of the robot in a complex scene can be improved.

A robot system with a robot manipulator and with a visual output unit, wherein the robot manipulator includes a robot link and the robot link includes an inertial measuring unit, wherein the inertial measuring unit is designed to determine a direction of a gravity vector when the robot link is immobile, and to determine, over a plurality of points in time, a current orientation of the robot link in relation to the gravity vector using attitude gyros, and to transmit, to the visual output unit, the current orientation of the robot link in relation to the gravity vector, and wherein the visual output unit is designed to display the current orientation of the robot link in relation to the gravity vector.

A method for recognizing an operating mode of a machine tool. A machine tool with a sensor for detecting axial accelerations and/or angular accelerations, wherein the machine tool is set up to carry out the proposed method.

A rotating tool according to an aspect of the present disclosure is a rotating tool used in a state held by a tool holder, and the rotating tool includes a shaft portion having an end attached to the tool holder, a blade attaching portion or a blade portion provided at an end of the shaft portion opposite to the end, and a plurality of sensors attached to the shaft portion, and the plurality of sensors include an acceleration sensor and a strain sensor.

The present disclosure provides systems and methods for training a robot. The systems and methods may provide a robotic system. The robotic system may comprise a trainable robot and a sensor. The sensor may be attached to at least one physical tool. The method may comprise using the sensor to capture movement from a user operating the at least one physical tool. The method may include using at least the movement captured to train the robot, such that upon training, the robot may be trained to perform at least the movement.

The present disclosure provides a method for controlling a handheld gimbal and a handheld gimbal. The method for controlling a handheld gimbal includes: upon rotation of a handheld gimbal, obtaining current attitude information of a photographing device and current attitude information of a handle; according to the current attitude information of the photographing device and the current attitude information of the handle, obtaining target attitude information of the photographing device; according to the current attitude information of the photographing device and the target attitude information, controlling a shaft joint of the handheld gimbal to rotate so that the attitude of the photographing device follows the attitude of the handle.

It A waste sorting robot (100) comprises a manipulator (101) moveable within a working area (102). A gripper (103) is connected to the manipulator (101) and arranged to selectively grip a waste object (104, 104a, 104b, 104c) in the working area (102). A controller (108) is in communication with a sensor (107) and is configured to receive detected object parameters, and determine a throw trajectory (109) of the gripped waste object (104) towards a target position (106) based on the detected object parameters of the gripped waste object (104). The controller (108) is configured to send control instructions to the gripper (103) and/or manipulator (101) so that the gripper (103) and/or manipulator (101) accelerates the gripped waste object (104) and releases the waste object (104) at a throw position with a throw velocity and throw angle towards the target position (106) so that the waste object (104) is thrown along the determined throw trajectory (109). A related method of controlling a waste robot is also disclosed.

A vibration analyzer includes a sensor that measures a vibration of an end effector supported by a distal end of a robot, a storage unit that stores a vibration calculation model of the robot, and a control unit configured to perform separation processing for separating a vibration to be reduced that is measured by the sensor into vibration data of the robot and vibration data of the end effector by using the vibration calculation model of the robot.