A teaching apparatus includes a display unit that displays a command display area in which a plurality of input motion commands of a robot are displayed, an extraction display area in which at least one motion command extracted from the plurality of motion commands displayed in the command display area is displayed, and a settings input area in which details of the extracted motion command are set, and a display control unit that controls actuation of the display unit, wherein the display control unit extracts and displays a motion command related to one of position information, velocity information, and acceleration information of the robot out of the plurality of motion commands displayed in the command display area in the extraction display area.

A modular robotic kitchen system is conveniently adaptable to perform a wide range of cooking applications. The modular robotic kitchen system can include a plurality of discrete modular units organized in a small footprint such that multiple types of cooking applications can be performed without a need to replace the modular units. Exemplary modular units include an ingredient module, robotic arm module, assembly and packaging module, and warming module. Optionally a transport unit or sled moves the modules into position. The modular kitchen system includes a central processor operable to carry out different cooking applications upon downloading software corresponding to the specific cooking application and without retooling the existing modules. Related methods are also described.

This teaching device comprises: a user interface unit capable of displaying a creation screen for a robot program; a teaching point display control unit for controlling displaying of previously taught teaching points on the creation screen; a teaching point selection unit for selecting a specific teaching point from the displayed teaching points; and a teaching point reuse unit for reusing the selected teaching point as a new teaching point for a robot program being created. The previously taught teaching points include at least one of a teaching point taught previously for the robot program being created and a teaching point taught previously for another robot program different from the robot program.

A feeder that feeds objects to be picked up by a robot, includes an object container unit having a first planar portion including a first planar surface in which the objects are thrown, and a groove portion including a plurality of grooves extending in a first direction from the first planar portion as seen from a normal direction in which a normal of the first planar surface extends, and a vibrator unit that applies vibration to the object container unit, wherein the vibrator unit has a first vibration mode in which the objects are moved in the first direction.

A collaborative device includes: a robotic arm including at least one motor; a tool secured to a free end of the robotic arm; a computer unit connected to the robotic arm to transmit instructions for controlling the robotic arm; and a joint having a flexible connection. The device integrates at least one sensor parameterised to detect forces exerted on the flexible connection. The computer unit is configured to: receive data from the sensor; translate the data into torques applied at the motor(s) of the robotic arm; generate instructions for attenuating the applied torques; and control the motor(s) of the robotic arm with the attenuation instructions.

Embodiments of the present disclosure provide a system, method, apparatus and computer-readable medium for teleoperation. An exemplary system includes a robot machine having a machine body, at least one sensor, at least one robot processor, and at least one user processor operable to maintain a user simulation model of the robot machine and the environment surrounding the robot machine, the at least one user processor being remote from the robot machine. The system further includes at least one user interface comprising a haptic user interface operable to receive user commands and to transmit the user commands to the user simulation model, a display operable to display a virtual representation of the user simulation model.

Robots are commonly used for automated MIG (Metal Inert Gas) or TIG (Tungsten Inert Gas) welding in many industries such as automotive manufacturing. A weld procedure is defined and the robot performs motion control of the weld torch along the weld seam, while starting and stopping the arc as desired along the weld seams. The robot controls the motion of the torch along the weld path. The motion is defined by a combination of the position and orientation of the torch which is attached to the robot end-effector. The weld specification will generally prescribe a portion or all of the desired orientation of the torch. This information can be used to reduce the complexity of programming a weld path for a robot.

A machine learning method includes: a first learning step which is performed in a phase before a neural network is installed in a mobile robot and in which a stationary first obstacle is placed in a set space and the first obstacle is placed at different positions using simulation so that the neural network repeatedly learns a path from a starting point to the destination which avoids the first obstacle; and a second learning step which is performed in a phase after the neural network is installed in the mobile robot and in which, when the mobile robot recognizes a second obstacle that operates around the mobile robot in a space where the mobile robot moves, the neural network repeatedly learns a path to the destination which avoids the second obstacle every time the mobile robot recognizes the second obstacle.

A robot controller includes a storage unit that stores load information including a mass and a center of gravity position of a load to be attached to a robot; a lead-through control unit that controls the robot comprising a sensor that detects an external force, based on the external force detected by the sensor and the load information stored in the storage unit; and a load suitability determining unit that determines whether or not the load information stored in the storage unit is suitable. In response to the load suitability determining unit determining that the load information has a possibility of being unsuitable, the lead-through control unit performs a restriction on a movement of the robot.

The invention provides a robot system that enables easy, efficient, and precise checking through simulation. The invention includes a virtual model display unit configured to place virtual models in a virtual space on a screen and display the virtual models simultaneously with real equipment; a robot program teaching unit configured to perform teaching of a robot program in the virtual space; a real space virtual model display unit configured to display the virtual models and teaching points of the robot program in a real space, based on a positional relationship in the virtual space; and a virtual model placement position correcting unit configured to correct placement positions of the virtual models to match the real equipment in the real space.