The invention relates to a method for controlling the movements of articulated arms (21, 22, 23) of an industrial robot (2) using a movement setting means (3) to be guided by hand by an operator, the movements of which are provided for generating at least a portion of the movement control data for the industrial robot (2) to be controlled. At least one of a plurality of reference marks (19, 19, 19) is arranged or formed at least on individual articulated arms (21, 22, 23) adjustable by the operator. The movement setting means (3) comprises at least one imaging and/or at least one distance-sensitive sensor (16, 17) which at least one sensor (16, 17) can be set with at least one of the plurality of reference marks (19, 19, 19) into a relative spatial position selected by the operator. During a movement of the movement setting means (3) at least the articulated arm (21, 22, 23) bearing the respectively selected reference mark (19, 19, 19) follows the movements of the movement setting means by control technology. In addition, a corresponding control system (1) and movement setting means (3) are specified.

This disclosure describes systems, methods, and devices related to robotic point capture and motion control. A robotic device may synchronize one or more robotic device axes with one or more axes of a handheld control device. The robotic device may establish a connection between a robotic device and the handheld control device, wherein the robotic device is capable of moving along the one or more robotic device axes. The robotic device may receive a control signal comprising an indication to transition to a point in space along travel path, wherein the travel path is based on information relating to one or more locations and one or more orientations of the handheld control device. The robotic device may cause to transition an end effector of the robotic device to the point in space based on the indication in the control signal.

A robot learning system for trajectory learning of a robot (RB) having a robot arm between a base and a tool center point (TCP). A user interface allows the user to control the robot arm in order to follow a desired trajectory during a real-time. A probe sensor (PS) is mounted on the TCP during the learning session. The probe sensor (PS) measures a distance parameter (Z) indicative of distance from the TCP and a surface forming the trajectory to be followed, and an orientation parameter (X, Y) indicative of orientation of the TCP and the surface forming the trajectory to be followed. These distance and orientation data are provided as a feedback to the controller of the robot (CTL) during the real-time learning session, thereby allowing the robot controller software to assist the user in following a desired trajectory in a continuous manner. Especially, the probe sensor (PS) may have a displaceable tip (TP) to follow a surface and having a neutral or center position, and where the robot controller software controls the robot movements to seek the neutral or center position irrespective of the user's control inputs. Data (DT) is logged during the learning session, so as to allow later control of the robot (RB) in response to the data (DT) logged during the learning session.

A robot learning system for trajectory learning of a robot (RB) having a robot arm between a base and a tool center point (TCP). A user interface allows the user to control the robot arm in order to follow a desired trajectory during a real-time. A probe sensor (PS) is mounted on the TCP during the learning session. The probe sensor (PS) measures a distance parameter (Z) indicative of distance from the TCP and a surface forming the trajectory to be followed, and an orientation parameter (X, Y) indicative of orientation of the TCP and the surface forming the trajectory to be followed. These distance and orientation data are provided as a feedback to the controller of the robot (CTL) during the real-time learning session, thereby allowing the robot controller software to assist the user in following a desired trajectory in a continuous manner. Especially, the probe sensor (PS) may have a displaceable tip (TP) to follow a surface and having a neutral or center position, and where the robot controller software controls the robot movements to seek the neutral or center position irrespective of the user's control inputs. Data (DT) is logged during the learning session, so as to allow later control of the robot (RB) in response to the data (DT) logged during the learning session.

A robot system includes a robot, a teach pendant having an operator interface, and a robot controller with a computer and associated hardware and software containing a virtual representation of the robot and the environment. The system employs a method for avoiding collisions including moving a manipulator arm along an actual path in an environment containing objects constituting collision geometry. Operator input is entered into the teach pendant, whereby the operator is able to directly control motion of the robot along the actual path. A recent history of the motion of the robot is recorded, and a predicted path of the robot is developed based on the input entered into the teach pendant and the recent history of the motion of the robot. Real-time collision checking between the predicted path and the collision geometry is performed while the operator manually controls the robot using the teach pendant.

A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.

A complicated motion program is taught, in a simple manner, to a lead-through teachable robot. Provided is a teaching apparatus for a robot, the teaching apparatus being provided with: a movement-instruction input portion that is attached to the robot and with which a movement instruction for the robot is input; and a command input portion with which it is possible to set at least one of a movement-trajectory defining command, a standby command, a speed-changing command, and a work-condition changing command at an arbitrary position on a movement pathway of the robot in a direction that corresponds to the movement instruction input via the movement-instruction input portion.

Provided is an off-line simulation system that enables performance of efficient vision correction training. This vision correction training system for vision correction training is provided with a head mount display capable of displaying an image in a virtual space, and a teaching device communicably connected to the head mount display. The teaching device has: a vision correction unit that, on the basis of a captured image captured by a camera after the position of a workpiece has been moved, performs vision correction on a predetermined movement; and a correction confirmation unit that confirms that the vision correction is appropriately performed on the predetermined movement.

A method and an apparatus for controlling a robot are provided. According to one aspect of the present disclosure, the method can include receiving information on a work type of robot motion performed by the robot; generating workflow of the robot motion based upon the received information on the work type of the robot motion; measuring information on work environment in which the robot motion is performed in accordance with the work type and the workflow of the robot motion by controlling the robot; receiving work information on the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot; and performing the robot motion in accordance with the work type and the workflow of the robot motion by controlling the robot based upon the measured information on the work environment and the received work information on the robot motion.

A robot off-line programming method. The method includes: respectively obtaining a first data representing positions and orientations of the plurality of targets on at least one work piece, a second data representing position of the at least one work piece, a third data representing geometry of a tool, and a fourth data representing the tool position and orientation with respect to an end of the robot; obtaining the robot path for which the tool tip passes through the plurality of the targets on the at least one work piece; using a function of an inverse kinematics for the robot model in consideration of the first data, the second data, the third data and the fourth data, calculating how many of the targets on the obtained robot path are reachable to the tool in relation to various rotation angle of the tool around the tool axis within a predetermined range so as to comply with optimization criteria. With the automatic calculation and intuitive preview, users could get to know directly about how many targets can be processed actually on a robot path. If the reachability is unsatisfied, the users could also have chances to modify the settings to obtain a more reasonable and precise path. An apparatus for implementing the method is also disclosed.