This disclosure provides systems and methods for robotic task planning when a complex task instruction is provided in natural language. Conventionally robotic task planning relies on a single task or multiple independent or serialized tasks in the task instruction. Alternatively, constraints on space of linguistic variations, ambiguity and complexity of the language may be imposed. In the present disclosure, firstly dependencies between multiple tasks are identified. The tasks are then ordered such that a dependent task is always scheduled for planning after a task it is dependent upon. Moreover, repeated tasks are masked. Thus, resolving task dependencies and ordering dependencies, a complex instruction with multiple interdependent tasks in natural language facilitates generation of a viable task execution plan. Systems and methods of the present disclosure finds application in human-robot interactions.

The brake driving control circuit, which controls an electromagnetic brake that releases the brake by applying a current, is provided with: a first rectifying element provided between a first power supply of a first circuit voltage and one terminal of the electromagnetic brake; a cut-off switch inserted into a line through which the first power supply supplies power; a first switching element provided between the other terminal of the electromagnetic brake and a ground point; and a second switching element and a second rectifying element provided in series between a second power supply of a second circuit voltage, which is different from the first circuit voltage, and the one terminal of the electromagnetic brake.

In an industrial robot, an external high-precision metrology tracking system, such as a laser tracker system, is used to directly measure robot kinematic errors and corrections are implemented during processing so that the end effector of the robot may be accurately positioned so that a tool or other object carried by the robot effector can carry out a designated function, such as machining a workpiece or other operation requiring that the effector be accurately positioned with respect to a workpiece.

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.

An approach to positioning one or more robotic arms in an assembly system may be described herein. For example, a system for robotic assembly may include a first robot, a second robot, and a control unit. The control unit may be configured to receive a first target location proximal to a second target location. The locations may indicate where the robots are to position the features. The control unit may be configured to calculate a first calculated location of the first feature of the first subcomponent, measure a first measured location of the first feature of the first subcomponent, determine a first transformation matrix between the first calculated location and the first measured location, reposition the first feature of the first subcomponent to the first target location using the first robot, the repositioning based on the first transformation matrix.

A surgical robotic system includes: a surgical table; a plurality of movable carts being oriented toward the surgical table, each of which includes a robotic arm, and an alignment unit configured to determine an orientation of the movable cart and the robotic arm relative to the surgical table; and a computer coupled to each of the plurality of movable carts and configured to calculate a yaw angle for each of the plurality of movable carts.

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 control device includes a second-control-signal generating section configured to reduce a predetermined frequency component from a first control signal for performing operation for moving a movable section of the robot to generate a second control signal and a storing section having stored therein reference information including information concerning combinations of ranges of positions of a control point of the robot and frequencies. The second-control-signal generating section determines, based on a position of the control point of the robot in the operation, with reference to the reference information, a frequency component to be reduced from the first control signal.

A robot control system includes a robot having a servo control unit, a lower-level control apparatus transmitting a control command to the servo control unit and receiving robot status information representing a status of the robot from the servo control unit with respect to each preset control period, and an upper-level control apparatus transmitting command information for creation of the control command to the lower-level control apparatus. The lower-level control apparatus transmits the robot status information to the upper-level control apparatus in synchronization with the control period. The upper-level control apparatus transmits the command information to the lower-level control apparatus within a predetermined transmission time shorter than the control period from a time when receiving the robot status information from the lower-level control apparatus.

A dynamic planning controller receives a maneuver for a robot and a current state of the robot and transforms the maneuver and the current state of the robot into a nonlinear optimization problem. The nonlinear optimization problem is configured to optimize an unknown force and an unknown position vector. At a first time instance, the controller linearizes the nonlinear optimization problem into a first linear optimization problem and determines a first solution to the first linear optimization problem using quadratic programming. At a second time instance, the controller linearizes the nonlinear optimization problem into a second linear optimization problem based on the first solution at the first time instance and determines a second solution to the second linear optimization problem based on the first solution using the quadratic programming. The controller also generates a joint command to control motion of the robot during the maneuver based on the second solution.