A driving device includes a corrector, an actuator, and a position sensor. The actuator includes a nut connected to a movable part, a ball screw shaft onto which the nut is screwed, and a pulse motor that drives to rotate the ball screw shaft. The corrector includes a correction amount map in which a position correction amount for calibrating a predictable error is mapped for each position of the movable part. The corrector estimates an ideal movement position to which the movable part moves based on a command signal and refers to the correction amount map to calculate the position correction amount corresponding to a present position detected by the position sensor. The corrector generates a correction signal by correcting the command signal so as to reduce the difference between a corrected present position obtained by correcting the present position by the position correction amount and the ideal movement position.

A pose calibration method, a robot, and a computer readable storage medium are provided. The method includes: obtaining, through a depth camera on a robot, a depth image including a target plane (i.e., a plane where the robot is located); determining point cloud data corresponding to the depth image; and calibrating a target pose of the depth camera based on the point cloud data and a preset optimization method, that is, calibrating a pitch angle and a roll angle of the depth camera and a height of the depth camera in a coordinate system of the robot. In this manner, the accuracy of the calibration of the target pose can be effectively improved while simple in implementation and small in calculation amount, and the efficiency of the calibration of the target pose can be improved so as to improve the user experience.

A system for inspecting a structure includes a laser ultrasound device configured to direct laser light onto a surface of the structure that generates ultrasonic waves within the structure and to generate an array of ultrasound data representative of the ultrasonic waves. The system includes a robotic arm configured to move the laser light across the surface. The system includes a multiplex controller configured to trigger generation of the ultrasonic waves within the structure at an inspection location and to receive the array of ultrasound data for the inspection location. The system includes a computer system that includes a motion-control module configured to control movement of the laser light relative to the surface of the structure, a motion-tracking module configured determine when the laser light is at the inspection location, and an inspection module configured to process the array of ultrasound data to inspect the structure at the inspection location.

In one embodiment, a method includes by a robotic system: sending, by an automatic tuning controller, driving commands to actuators of the robotic system, performing, for each of the actuators, one or more measurements of an actual pose of the respective actuator in response to the driving commands, generating, for each of the actuators, one or more configuration parameters for the respective actuator based on the one or more measurements, and storing the configuration parameters for the actuators in a data store of the robotic system.

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.

Techniques are described for testing whether an end effector, or component thereof, is correctly or incorrectly installed to a manipulation system. In an example, a manipulation system can include a manipulator arm configured to receive an end effector having a first moveable jaw, a transducer configured to provide first effort information of the end effector as the end effector moves, and a processor configured to provide a command signal to effect a first test move of the first moveable jaw, and to provide an installation status of the of the end effector using the first effort information of the first test move.

Disclosed is a physical unclonable function generator circuit and method. In one embodiment, a physical unclonable function (PUF) generator comprising: a plurality of PUF cells, wherein each of the plurality of PUF cells comprises a first MOS transistor and a second MOS transistor, wherein terminal S of the first MOS transistor is connected to terminal D of the second MOS transistor at a dynamic node, terminal D of the first MOS transistor is coupled to a first bus and terminal G of the first NMOS transistor is coupled to a second bus, and terminals S and G of the second NMOS transistor are coupled to ground; a plurality of dynamic flip-flop (DFF) circuits wherein each of the plurality of DFF circuits is coupled to each of the plurality of PUF cells respectively; a population count circuit coupled to the plurality of DFF circuits; and an evaluation logic circuit having an input coupled to the population count circuit and an output coupled to the plurality of DFF circuits.

A robot and a robot-based container storage and removal method. The robot comprises: a master control processing unit (110), a pick-and-place mechanism (120) and a marker detection unit (130), wherein according to target storage and removal position information of a target inventory container, the master control processing unit (110) controls a robot body to move to a first horizontal position and controls the pick-and-place mechanism (120) to move to a first height position; when the robot body and the pick-and-place mechanism (120) stop moving, the marker detection unit (130) determines a target pick-and-place marker from a target inventory support to which the target inventory container belongs; and the master control processing unit (110) also calibrates the position of the pick-and-place mechanism (120) according to the position of the target pick-and-place marker, so as to control the calibrated pick-and-place mechanism (120) to perform a storage operation or a removal operation on the target inventory container. By means of the solution, a pick-and-place position of a pick-and-place mechanism (120) of the robot can be precisely positioned and moved, such that the pick-and-place mechanism (120) can quickly and accurately store or remove a target inventory container.

An example method may include i) detecting a disturbance to a gait of a robot, where the gait includes a swing state and a step down state, the swing state including a target swing trajectory for a foot of the robot, and where the target swing trajectory includes a beginning and an end; and ii) based on the detected disturbance, causing the foot of the robot to enter the step down state before the foot reaches the end of the target swing trajectory.

A robotic system includes first and second manipulator assemblies in an operating environment and having separately movable bases. A processing unit is configured to receive first sensor data from a first plurality of sensors disposed on the first manipulator assembly, wherein the first sensor data provide spatial information about the operating environment external to the first manipulator assembly. A first spatial relationship of the second manipulator assembly relative to the first manipulator assembly is determined using data including the first sensor data. A first alignment relationship between the first and second manipulator assemblies is established based on the first spatial relationship. Based on the first alignment relationship, motion of the second manipulator assembly is commanded in response to a command from a first input device operable by an operator.