An industrial robot system includes: a robot that includes a torque sensor on at least one rotary shaft; and a controller that controls the robot. The controller includes a moment output unit that outputs a value of moment from a posture of the robot or the posture and a motion of the robot, a program storage unit that stores a motion program, a drive control unit that causes each of component parts of the robot to perform a rotating motion around the rotary shaft in accordance with the motion program, and an output calibration unit that associates a torque detection value detected by the torque sensor with the value of moment output from the moment output unit in the rotating motion of each of the component parts around the rotary shaft performed by the drive control unit.

The present disclosure relates to a robot teaching system, which moves a robot according to an external force applied from the outside so that the robot has a location and posture intended for teaching and then teaches a location and posture of the moved robot, and the robot teaching system comprises: an arm including a plurality of articular shafts and a plurality of links connected by the plurality of articular shafts; a plurality of strain gauges respectively coupled to frames of the plurality of links to measure a deformation value of the link that is deformed by the external force; and a calculating device configured to estimate the external force from the deformation value of the link obtained by the plurality of strain gauges, calculate a teaching force from the external force and move the robot by an operation corresponding to the teaching force.

An intervention system employing an interventional robot (30), an interventional imaging modality (10) and an interventional controller (70). In 5 operation, the interventional controller (70) navigates an anatomical roadmap (82) of an anatomical region of a patient in accordance with an interventional plan to thereby control a navigation of the interventional robot (30) within the anatomical region in accordance with the anatomical roadmap (82). Upon a detection by the interventional controller (70) of an occurrence of the interventional controller (70) navigating 10 proximately to a critical anatomical location within the anatomical roadmap (82), the interventional controller (70) pauses the navigation of the interventional robot (30) within anatomical region and autonomously controls an operation of the interventional imaging modality (10) for generating an updated anatomical roadmap (82) of the anatomical region whereby the interventional controller (70) navigates the updated 15 anatomical roadmap (82) of the anatomical region in accordance with the interventional plan to thereby control a resumed navigation of the interventional robot (30) within the anatomical region.

A robotic device includes one or more actuators to position an end effector in a plurality of degrees of freedom. A navigation system tracks an actual position of the end effector. A controller identifies a condition wherein the actual position of the end effector contacts a virtual constraint. The controller determines that an anticipated movement of the end effector from an actual position to the home position would cause a collision between the end effector and a virtual constraint and computes a target position of the end effector that avoids the collision. The target position is spaced from the actual position and computed with respect to the virtual constraint. The one or more actuators are controlled to move the end effector from the actual position to target position along the virtual constraint.

Systems, devices, articles, and methods, described in greater detail herein, including robotic systems which include at least one rangefinder, at least one manipulator, and at least one processor in communication with the at least one rangefinder, and methods of operation of the same. The at least one processor obtains rangefinder pose information which represents, at least, the at least one manipulator in a plurality of poses. The at least one processor obtains manipulator pose information, optimizes a model of mismatch between the rangefinder pose information and the manipulator pose information, wherein the model of mismatch includes a plurality of parameters, and updates at least one processor readable storage device with the plurality of parameters based at least in part on the optimization.

A control method of a robot, the robot including a first member, a second member connected to the first member, a drive device configured to rotate or slide the second member with respect to the first member, and an end effector connected to the second member, wherein posture of the end effector is changed by drive of the drive device, the robot control method includes detecting, based on an output signal from an inertial sensor disposed on the end effector, a gravity influence amount indicating a degree of influence of gravity received by the end effector, determining, based on the detected gravity influence amount, a drive algorithm for the drive device from among a plurality of drive modes, and driving the drive device by the determined drive algorithm.

A humanoid hugging assembly includes a humanoid animatronic that has a torso, a pair of arms and a pair of hands each is disposed on a respective one of the arms. The arms are positionable in a resting position having the arms extending downwardly along the torso and having a palm of each of the hands facing the torso. Each of the arms is positionable in a hugging position has each of the arms is crossed in front of the torso wherein the pair of arms is configured to embrace the user. A motion sensor is integrated into the humanoid animatronic to sense motion of the user approaching the humanoid animatronic. A motion unit is integrated into the humanoid animatronic and the motion unit actuates each of the arms into the hugging position when a predetermined duration of time has passed when motion sensor senses motion.

Embodiments relate to a charging dock which allows a mobile robot to self-dock for charging more efficiently and reliably. The charging dock has a pivoting face including a disk fashioned with charging connection points. When a robot encounters the dock, the pivoting face is able to pivot to ensure the charging disk can align with corresponding charging pickup points within the robot's charging receptor. The pivoting face improves efficiency and reliability of the robot's docking procedures.

An apparatus and method for calibrating or teaching a robot, the apparatus includes a reflective photoelectric sensor arranged on a gripper of the robot and a controller. The controller is configured to: cause the reflective photoelectric sensor to scan over a target object; monitor changes in an output signal from the reflective photoelectric sensor; for each detected change exceeding a threshold, determine a coordinate of a gripping component on the gripper in a robot coordinate system, to obtain a set of coordinates; determine a position of the target object in the robot coordinate system based on the set of coordinates and a predefined offset value (PO) between the reflective photoelectric sensor and the gripping component; and store the position of target object for future use in assembling objects.

A sensing manipulator of an articulated arm is disclosed. The sensing manipulator includes a compliant section and a movement detection system provided along a first direction of the compliant section such that movement of the compliant section along both the first direction and at least one direction transverse to said first direction, are detectable by the movement detection system.