An example robotic welding system includes: one or more sensors configured to determine a physical position and orientation of a welding tool with respect to a reference frame; and a processor configured to: communicatively connect to a welding-type power supply; during a welding operation performed using the welding tool: track the physical position and orientation of the welding tool within the reference frame; and monitor at least one of an input or an output of the welding-type power supply; and generate a robotic welding procedure based on the tracked physical position and orientation of the welding tool and based on the at least one monitored input or monitored output of the welding-type power supply.

A torch for use by a robot. The torch has a body that can be connected to an arm of the robot. A first actuator on the body can be activated by a user to initiate a recording cycle at a starting point of a desired welding or cutting path and to terminate the recording cycle at an ending point of the path. A second actuator on the body can be activated by the user to indicate way points from the starting point to the ending point as the user moves the torch along the path. The first actuator sends first information to a robot controller, operatively connected to and located remotely from the robot, to initiate and to terminate the recording cycle at the controller. The second actuator device sends the way points as second information to the controller to be recorded at the controller during the recording cycle.

A robot system with a hand-guiding function is disclosed. The robot system selects the hand-guiding function or non-hand-guiding function of an enable device by a mode option mechanism during the operation of a teach mode or an automatic mode. When selecting the hand-guiding function, the enable device has both the enabling and the hand-guiding function to easily hand-guiding the robot to operate.

A method includes receiving input data indicative of tactile input at a bidirectional jog control device associated with a seven-degree-of-freedom (7DOF) robotic arm, where the 7DOF robotic arm is in a first arm configuration with an end effector of the 7DOF robotic arm positioned at a first pose in an environment. Based on the input data, the method further includes determining a direction to jog the 7DOF robotic arm through a null space while keeping the end effector fixed at the first pose in the environment. The method additionally includes controlling the 7DOF robotic arm to jog through the null space in the determined direction to a second arm configuration, where the end effector is positioned at the first pose in the environment when the 7DOF robotic arm is in the second arm configuration.

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.

To enhance the productivity of an offline teaching work by visualizing the working position, path, and the like of an end effector in offline teaching. A robot teaching device, includes: a teaching point marker display unit configured to display, on a GUI, teaching point markers for marking teaching points in a three-dimensional modeling space in which at least a three-dimensional model of a robot including an end effector and a three-dimensional model of a work piece are arranged, the teaching points serving as target passing points of the end effector; a joined path display unit configured to display, on the GUI, a joined path, which is a path connecting successive points among the teaching points to each other; and a changing point marker display unit configured to display, on the GUI, a changing point marker marking a point at which a working state of the end effector changes.

A teaching method for detecting external force applied to a robot arm, driving the robot arm with force control based on the external force, and teaching a position and a posture of the robot arm, the teaching method including gradually relaxing, according to an elapsed time from when operation of the robot arm is started or a movement amount of the robot arm from when the operation of the robot arm is started, a restrictive condition for restricting the driving of the robot arm.

A robot system includes a robot, a vision sensor, and a controller. The vision sensor is configured to be detachably attached to the robot. The controller is configured to measure a reference object by using the vision sensor and calibrate a relative relationship between a sensor portion of the vision sensor and an engagement portion of the vision sensor, and teach the robot by referring to the relative relationship and by using the vision sensor, after the vision sensor is attached to the robot.

A workpiece processing system (1) includes a transfer robot (3), a control device (4) controlling operation of the transfer robot (3), and an operating part (5) performing a teaching operation to the transfer robot (3). The control device (4) has an approach point setter (6) setting in advance an approach point as a reference point for the transfer robot (3) to start operation to a workpiece processing device, a first program generator (7) generating a first program defining the operation of the transfer robot (3) from an operational zero point for the transfer robot (3) to the approach point, a second program generator (8) generating a second program defining the operation of the transfer robot (3) after the approach point based on the teaching operation, and a robot controller (9) controlling the operation of the transfer robot (3) in accordance with the first program and the second program.

A teaching method of driving a robot arm by a drive unit based on a detection result of a force detection unit and storing a position and a posture of the driven robot arm in a memory unit, includes determining whether or not the posture of the robot arm is close to a singular posture, and, when determining that the posture of the robot arm is close to the singular posture, selecting and executing one escape posture from a plurality of escape posture candidates escaping from the posture close to the singular posture according to an external force detected by the force detection unit.