A method of teaching in a holding force for holding an object by a gripper of a robot manipulator, the gripper having gripper jaws elastically deformable in a reversible manner, the method including: closing the gripper until the gripper jaws contact the object at contact points of the gripper jaws; externally applying a desired closing force at connection points of the gripper jaws to gripper jaw bearings such that the connection points move relative to the contact points, thereby elastically deforming the gripper jaws; actuating a gripper drive to maintain the current position of the connection points and terminating the closing force externally applied onto the connection points; and ascertaining and storing a value of a gripping force or a gripping torque, wherein the gripping force or the gripping torque is produced by elastic deformation of the gripper jaws and is exerted onto the connection points by the gripper jaws.

A machine learning model operation management system includes a model building server and an operation server. The model building server builds a trained machine learning model based on received training data. When the trained machine learning model stored in a robot controller operates for determining the operation of a robot, the operation server receives operation information generated by the robot controller. Data of the trained machine learning model built by the model building server is assigned with model identification information that uniquely identifies the trained machine learning model. The robot controller makes an external inquiry as to whether or not it has permission to use the trained machine learning model stored in itself, and if it has the permission to use, it makes the trained machine learning model available for use. The operation server stores the operation information in association with the model identification information.

Systems, methods and apparatus for automated vehicle wheel removal and replacement are provided. One system includes a computer system with applications for scheduling the replacement of tires for the vehicle. An electronically controlled lift device and robotic apparatus is configured for interaction with the computer system. The lift device mechanically adjusts arms for placement on lift points of vehicles. The robotic apparatus detects positioning of lug nut configuration for a wheel, removes lug nuts, and then removes the wheel from the wheel hub with gripping arms. The wheel and tire are then handed off to a separate tire changing machine. When a new tire is replaced the robotic apparatus then mounts the wheel to the original wheel hub, and then secures the lug nuts to the lug nut bolts.

The present disclosure discloses a robot control method as well as an apparatus, and a robot using the same. The method includes: obtaining a human pose image; obtaining pixel information of key points in the human pose image; obtaining three-dimensional positional information of key points of a human arm according to the pixel information of the preset key points; obtaining a robotic arm kinematics model of a robot; obtaining an angle of each joint in the robotic arm kinematics model according to the three-dimensional positional information of the key points of the human arm and the robotic arm kinematics model; and controlling an arm of the robot to perform a corresponding action according to the angle of each joint. The control method does not require a three-dimensional stereo camera to collect three-dimensional coordinates of a human body, which reduces the cost to a certain extent.

A method includes receiving an indication that a web-based application has been accessed for control of a robotic device by a mobile device, wherein the mobile device comprises one or more sensors to detect movement of the mobile device. The method further includes subscribing the web-based application to at least one motion event web API, wherein the at least one motion event web API listens normalizes motion data from the one or more sensors of the mobile device into one or more standardized motion parameters. The method additionally includes receiving the one or more standardized motion parameters of the mobile device from the at least one motion event web API. The method further includes converting the one or more standardized motion parameters into one or more requested movement commands for the robotic device. The method further includes sending the one or more requested movement commands to the robotic device.

The present disclosure relates to the field of modular robot control, and more particularly to a method for controlling a modular robot and a system thereof. The method includes the following steps: T1: providing a plurality of module units; T2: assembling the plurality of module units into an initial entity structure; T3: acquiring initial virtual configuration information of the initial entity structure; T4: generating an initial virtual configuration based on the initial virtual configuration information; T5: setting an action frame to generate preset action control information; and T6: transmitting the preset action control information to the modular robot which executes a motion according to the preset action control information.

Provided is a robot control system that can appropriately perform addition and deletion of new functions. This robot control system is provided with: a robot control device; and a teaching manipulation panel. The robot control device is provided with: a storage unit; a function addition unit; a switching unit that is provided on the teaching manipulation panel and that is for setting the operation of the function addition unit to be enabled or disabled; and a function control unit that, when the operation of the function addition unit is set to be enabled by the switching unit, enables addition and deletion of a function by the function addition unit, and when the operation of the function addition unit is set to be disabled by the switching unit, disables the addition and deletion of a function by the function addition unit.

Fast and stable methods are provided for estimating contact forces at multiple contact patches for multi-contact interactions between a robot and objects in its environment. Additionally, the estimated contact forces are physically consistent, and provide a useful to substitute to measured forces using sensors. Embodiments of this invention can be programmed as computer- implemented method(s) into a simulation software to produce smooth motion of the robot and objects in its environment without artifacts such as inter-penetration between bodies and unexpected oscillations.

A program generation device includes a display; at least one memory configured to store an operation symbol including information in relation to an operation command of a robot, and an auxiliary symbol including information in relation to a control command for adding an operation of the robot or for correcting the operation of the robot defined by at least one operation symbol; and at least one processor configured to obtain information in relation to setting of at least one of the operation symbol or the auxiliary symbol, and cause the display to display the operation symbol and the auxiliary symbol so as to align the operation symbol and the auxiliary symbol in order of operations of the robot based on the obtained information in relation to setting.

A robot control system including a robot controller configured to control a robot, two operation devices configured to manually operate the robot, the first operation device being connected to the robot controller. Each of the operation devices has a request switch configured to switch between a request state in which an operation right for the robot is requested and a non-request state in which the operation right is not requested, and the robot controller is configured to start providing the operation right to one of the operation devices only when the request switch of the one of the operation devices is in the request state and the request switch of the other of the operation devices is in the non-request state, and keep the operation right granted until the request switch of the one of the operation devices is switched to the non-request state.