A method for controlling a robot device using a portable terminal including a touchscreen is provided. The method includes displaying an enable button in a first area of the touchscreen, displaying an emergency stop button in a second area of the touchscreen, displaying a plurality of robot control buttons in a third area of the touchscreen, in response to simultaneously receiving from a user an input on the first area and an input on the third area, transmitting a robot control signal to a control device configured to control the robot device, and in response to receiving an input from the user on the second area, transmitting an emergency signal to the control device.

A robot teaching device generates an operation program of a robot by arranging an instruction icon that represents an operation instruction of the robot. The robot teaching device comprises means for displaying a plurality of marks associated with the instruction icon in a case that the operation instruction includes a plurality of positions, wherein the mark is associated with an identifier of the position.

A portable real-time system monitoring device is advantageously capable of autonomously learning the normal behavior of any system and of alerting the user or taking other action when the system becomes unpredictable or otherwise undesirable. No prior knowledge about the system is needed by the device. This is because the device uses a combination of machine learning and statistical process control to autonomously develop its own model of the monitored system and then autonomously monitor the system for unexpected behavior. Therefore, without any prior analysis or model creation, it can be deployed on any system, and it can be reused on any other system after it has been reset. The advantageous device of the disclosed and claimed concept performs this function in either real time or near real-time.

Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked. When images are acquired after picking they can be imaged accurately and the information about picking and also dropping success can be improved by using acquired images as a feedback in the machine learning arrangement being used for controlling the picking and dropping of objects.

Feedback information is an important aspect in all machine learning systems. In robot systems that are picking objects from a plurality of objects this has been arranged by acquiring images of objects that have been picked. When images are acquired after picking they can be imaged accurately and the information about picking and also dropping success can be improved by using acquired images as a feedback in the machine learning arrangement being used for controlling the picking and dropping of objects.

A robot system including at least one robot arm and a control unit which is designed such that it can pre-set at least one pre-defined operation carried out by the robot system. The robot system also includes a display device and at least one input device applied to the robot arm, which is designed such that the sequence of operations of the robot system is set and/or the pre-defined operations of the robot system is parameterized by means of the input device, and which is also designed such that it allows the user to control, on a graphic user interface, represented by the control unit on the display device, the setting of the pre-defined operations of the robot system, the setting of the sequence of operations and/or the parameterization of the pre-defined operations for the robot system.

A robot system including at least one robot arm and a control unit which is designed such that it can pre-set at least one pre-defined operation carried out by the robot system. The robot system also includes a display device and at least one input device applied to the robot arm, which is designed such that the sequence of operations of the robot system is set and/or the pre-defined operations of the robot system is parameterized by means of the input device, and which is also designed such that it allows the user to control, on a graphic user interface, represented by the control unit on the display device, the setting of the pre-defined operations of the robot system, the setting of the sequence of operations and/or the parameterization of the pre-defined operations for the robot system.

A teaching method is for teaching a position and attitude of a robot arm to a robot configured to switch between a first state where the third axis is located at one side of a first imaginary line and a second state where the third axis is located at the other side of the first imaginary line, the first imaginary line being set as a straight line passing through a first axis and a second axis when the robot arm is viewed from a direction along the first axis. The method includes performing a switching operation of switching between the first state and the second state according to a result of detection by a force detection unit.

A control method of controlling a robot apparatus based on a plurality of teaching points includes setting a motion condition for each of the plurality of teaching points, selecting a teaching point at which the motion condition is to be changed, from among the plurality of teaching points, and obtaining a new teaching point that causes a pose of the robot apparatus to change at the selected teaching point.

A mobile robot and method for interactively providing waypoints to a mobile robot for use in the marking of a geometric figure on a ground surface including the steps of: i) Selecting a control function accepting manual positioning of a mobile robot at two or more target locations on a ground surface; ii) Positioning the mobile robot in proximity to a first target location to be marked on a surface, and directing a position determining device of the mobile device to said first target location to be marked; iii) Instructing the mobile robot to store the first target location as a first waypoint; iv) Repeating steps ii)-iii) to obtain at least a second waypoint; v) Selecting a control function accepting manual selection of a geometric figure for being marked on said ground surface; vi) Instructing the mobile robot to compute the best fit for the selected geometric figure on the surface based on the two or more waypoints; vii) Instructing the mobile robot to compute waypoint coordinates of the geometric figure for being marked from the fitted position of said geometric figure; and viii.a) Instructing the mobile robot to store the computed waypoint coordinates of the geometric figure; or viii.b) Instructing the mobile robot to mark the geometric figure on the surface.