The present disclosure relates to a first Web server (102, 204, 60, 70) and a second Web server (108, 214, 80, 90), and methods therein for controlling of a robot device over a cloud interface. A hyper-text transfer protocol, HTTP, request for a trajectory between a start position and a goal position is sent (S120, S230, 302, 402) towards the second Web server. One or more calculated trajectories are obtained (S122, 304) based on information as received encoded in the request. A HTTP response is sent (306) towards the first WEB server, comprising one or more calculated trajectories. Executing (S126, S266; 308, 406) of a trajectory at least based said one or more of the received trajectories is performed by the first Web server (102, 204, 60, 70). A scalable robot device control method is thus proposed, which is advantageously uses stored calculated trajectories between start and goal positions, for the robot device.

A system and a method using a system for planning a use includes at least one marking, a control and evaluation unit, a database, a display unit, at least one time of flight sensor for a spatial scanning of a real environment, and at least one camera for imaging the real environment. The real environment in a spatial model can be displayed as a virtual environment on the display unit. The marking in the real environment is arranged at a position and has an orientation. The position and the orientation of the marking can be detected at least by the time of flight sensor and the position and orientation of the marking are linked by a virtual sensor model. The virtual sensor model in the spatial model of the virtual environment can be displayed on the display unit at the position and having the orientation of the marking.

A programming method is for a numerical control machine tool system including a mobile terminal, a controller, a robot, and a numerical control machine tool. The mobile terminal is wirelessly connected to the controller configured to control the robot and the numerical control machine tool, and the robot and the numerical control machine tool being configured to work cooperatively to process a workpiece. The method includes: loading, at the mobile terminal, a preset motion model of the robot and the numerical control machine tool, the preset motion model being a plurality of graphical functional modules and a connection between them; receiving a graphical programming instruction for a user to configure the preset motion model using the mobile terminal; and converting the graphical programming instruction into G-code, where the G-code is used by the controller to control the robot and the numerical control machine tool to process the workpiece.

Methods and systems for controlling a robot. In one aspect, the method (1300) comprises obtaining (s1302) first input information associated with a first simulation environment to which a first level of realism is assigned and obtaining (s1304) second input information associated with a second simulation environment to which a second level of realism is assigned. The first level of realism is different from the second level of realism. The method further comprises associating (s1306) the first input information with a first realism value representing the first level of realism; and associating (s1308) the second input information with a second realism value representing the second level of realism. The method further comprises modifying (s1310), based on the associated first input information and the associated second input information, one or more parameters of a machine learning (ML) process used for controlling the robot.

A robot system includes: a robot; a robot controller configured to control the robot based on sequential taught positions; and a teaching device communicative with the robot controller and configured to receive operations by an operator, wherein the robot controller includes circuitry configured to: generate, in response to determining that a target position is designated by the operator on the teaching device, a path from a current position of the robot to the target position by simulation of moving the robot based on surrounding environmental information of the robot; and move the robot toward the target position along the generated path.

An electronic device associates coordinates of a virtual space with coordinates of a real space. The electronic device includes an imaging section, a recognition section, a first setting section, and a display controller. The imaging section captures an image or respective images of a hand and a robot in the real space to generate a captured image of the hand and the robot. The recognition section recognizes a gesture represented by a motion of the hand based on the captured image. The first setting section sets the robot in the virtual space based on coordinates of the hand in the virtual space when it is recognized that the gesture corresponds to a first gesture. The display controller controls display of the robot so that the robot is visible to the human eye.

Techniques are disclosed for controlling robots based on generated robot simulations. A robot simulation application is configured to receive a robot definition specifying the geometry of a robot, a list of points defining a toolpath that a head of the robot follows during an operation, and a number of simulations of the robot performing the operation. The simulation application then performs the number of simulations, displays results of those simulations, and generates code for controlling a physical robot based on a user selection of one of those simulations. During each simulation, if a robotic problem, such as an axis limit or a singularity problem, is encountered, then the simulation application attempts to resolve the problem by rotating the robot head in both directions about a tool axis and determining a smallest angle of rotation in either direction that resolves the robotic problem, if any.

A robot system includes a robot; a peripheral device disposed around the robot; a control unit configured to operate at least the robot based on a program; a suspension unit configured to suspend a plurality of sequential operations performed by the robot in conjunction with the peripheral device based on an operation program if an irregular state occurs in the peripheral device; and a simulator. The simulator is configured to generate a recovery program based at least on a robot state information of the robot at the time of suspending the operation due to an occurrence of the irregular state, in which the control unit is further configured to cause the robot to operate with respect to the peripheral device based on the recovery program so that an operation by the suspended operation program becomes resumable.

The present disclosure relates to a first Web server (102, 204, 60, 70) and a second Web server (108, 214, 80, 90), and methods therein for controlling of a robot device over a cloud interface. A hyper-text transfer protocol, HTTP, request for a trajectory between a start position and a goal position is sent (S120, S230, 302, 402) towards the second Web server. One or more calculated trajectories are obtained (S122, 304) based on information as received encoded in the request. A HTTP response is sent (306) towards the first WEB server, comprising one or more calculated trajectories. Executing (S126, S266; 308, 406) of a trajectory at least based said one or more of the received trajectories is performed by the first Web server (102, 204, 60, 70). A scalable robot device control method is thus proposed, which is advantageously uses stored calculated trajectories between start and goal positions, for the robot device.

An electronic device associates coordinates of a virtual space with coordinates of a real space. The electronic device includes an imaging section, a recognition section, a first setting section, and a display controller. The imaging section captures an image or respective images of a hand and a robot in the real space to generate a captured image of the hand and the robot. The recognition section recognizes a gesture represented by a motion of the hand based on the captured image. The first setting section sets the robot in the virtual space based on coordinates of the hand in the virtual space when it is recognized that the gesture corresponds to a first gesture. The display controller controls display of the robot so that the robot is visible to the human eye.