A robot includes a body that is movable relative to a surface one or more measurement devices within the body to output information based on an orientation of the body at an initial location on the surface, and a controller within the body to determine an orientation of the body based on the information and to restrict movement of the body to an area by preventing movement of the body beyond a barrier that is based on the orientation of the body and the initial location.

Systems, apparatuses, and methods for calibrating LiDAR sensors of a robot using intersecting LiDAR sensors are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may calibrate a calibration LiDAR based on a determined pose of the calibration LiDAR, wherein the pose is determined based on a measurement error between the calibration LiDAR and an intersecting reference LiDAR.

A film peeling apparatus for peeling a film from an object includes a peeling module including a first frame, a second frame connected to the first frame and including a rotation body and a gripper which grips the film attached to the object and to be removed from the object, and is rotatable about a rotation axis of the rotation body connecting the first frame and the gripper, and a third frame defining a boundary at which the film to be removed is peeled from the object, and an articulated robot including an articulated arm connected to the first frame.

The present invention provides an unmanned transfer robot system including: an unmanned transfer vehicle capable of traveling on a road surface between a plurality of work stations; a robot that is mounted on the unmanned transfer vehicle; a sensor that is mounted on the robot and that detects a condition of the road surface; and a control unit that controls the robot and the unmanned transfer vehicle. Within an operation range of the robot, the sensor is disposed at a position where the sensor can detect a condition of the road surface in the periphery of the unmanned transfer vehicle, and the control unit controls the unmanned transfer vehicle on the basis of the condition of the road surface acquired by the sensor.

A control device for a robot includes a comparing unit and a controller. When the robot equipped with a force sensor capable of detecting force components of a same type in a plurality of directions operates, the comparing unit compares a magnitude of each of the force components detected by the force sensor with a predetermined threshold value for each of the directions. If the comparing unit determines that a magnitude of a force component in any of the directions exceeds the threshold value, the controller controls the robot to avoid an increase in the magnitude of the force component in the direction.

A control method for a robot system having a robot arm and executing an operation mode of the robot arm having an execution mode in which a motion program is executed and a teaching mode in which the motion program is taught, includes setting an upper limit velocity of a motion velocity of the robot arm to a first velocity when the operation mode is the execution mode, and setting the upper limit velocity to a second velocity lower than the first velocity when the operation mode is the teaching mode.

A system and method of breakaway clutching in a device includes an arm including a first joint and a control unit coupled to the arm. The control unit includes one or more processors. The control unit switches the first joint from a first state of the first joint to a second state of the first joint in response to an external stimulus applied to the arm exceeding a first threshold, wherein movement of the first joint is more restricted in the first state of the first joint than in the second state of the first joint, switches the first joint from the second state to the first state in response to a speed associated with the first joint falling below a speed threshold, and prevents the switching of the first joint from the first state to the second state when the arm is in a predetermined mode.

Methods, apparatus, systems, and computer-readable media are provided for generating a spatio-temporal object inventory based on object observations from mobile robots and determining, based on the spatio-temporal object inventory, monitoring parameters for the mobile robots for one or more future time periods. Some implementations relate to using the spatio-temporal object inventory to determine a quantity of movements of objects that occur in one or more areas of the environment when one or more particular criteria are satisfied—and using that determination to determine monitoring parameters that can be utilized to provide commands to one or more of the mobile robots that influence one or more aspects of movements of the mobile robots at future time periods when the one or more particular criteria are also satisfied.

A medical navigation system is provided for controlling medical equipment during a medical procedure. The medical navigation system includes a passive radio frequency identification (RFID) tag, an RFID sensor for detecting the passive RFID tag, a controller coupled to the RFID sensor, and a robotic arm having an end effector and controlled by the controller. The RFID sensor provides a signal to the controller indicating presence of an activated passive RFID tag. The passive RFID tag has an antenna, an RFID circuit, and a switching device coupled to the RFID circuit for activating the passive RFID tag. The passive RFID tag is used to control a payload attached to the end effector.

Exemplary embodiments relate to user-assisted robotic control systems, user interfaces for remote control of robotic systems, vision systems in robotic control systems, and modular grippers for use by robotic systems. The systems, methods, apparatuses and computer-readable media instructions described interact with and control robotic systems, in particular pick and place systems using soft robotic actuators to grasp, move and release target objects.