A numerical controller includes an activation unit that builds a memory map according to settings when the power is on; a change detection unit that detects an operation requiring reconstructing of the memory map; a task control unit that, when the operation is detected, performs a stopping process of a task being operated; and a memory map control unit that, after the task has stopped, acquires a backed up memory, reconstructs the memory map according to the setting, and compares the reconstructed memory map and the backed-up memory map, and resets information required for operating the task again such as a program counter.

A position and tracking system for radio-based localization in an operating room, includes a receiver, a mobile cart, a processor, and a memory coupled to the processor. The mobile cart includes a robotic arm and a transmitter in operable communication with the receiver. The memory has instructions stored thereon which, when executed by the processor, cause the system to receive, from the transmitter, a signal including a position of the mobile carts in a 3D space based on the signal communicated by the transmitter and determine a spatial pose of the mobile carts based on the received signal.

One object determining system comprising: an air ejection device, configured to eject air; a distance detecting circuit, configured to detect distances between an electronic device comprising the object determining system and at least one location of an object when the air ejection device ejects air to the object; and a determining circuit, configured to determine a type of the object according to variations of the distances.

A handheld user interface device for controlling a robotic system may include a member, a housing at least partially disposed around the member and configured to be held in the hand of a user, and a tracking sensor system disposed on the member and configured to detect at least one of position and orientation of at least a portion of the device. At least one of the detected position of the portion of the device and detected orientation of the portion of the device is correlatable to a control of the robotic system.

Grasping of an object, by an end effector of a robot, based on a grasp strategy that is selected using one or more machine learning models. The grasp strategy utilized for a given grasp is one of a plurality of candidate grasp strategies. Each candidate grasp strategy defines a different group of one or more values that influence performance of a grasp attempt in a manner that is unique relative to the other grasp strategies. For example, value(s) of a grasp strategy can define a grasp direction for grasping the object (e.g., “top”, “side”), a grasp type for grasping the object (e.g., “pinch”, “power”), grasp force applied in grasping the object, pre-grasp manipulations to be performed on the object, and/or post-grasp manipulations to be performed on the object.

A reinforcement learning method executed by a computer includes calculating a degree of risk for a state of a controlled object at a current time point with respect to a constraint condition related to the state of the controlled object, the degree of risk being calculated based on a predicted value of the state of the controlled object at a future time point, the predicted value being obtained from model information defining a relationship between the state of the controlled object and a control input to the controlled object; and determining the control input to the controlled object at the current time point, from a range defined according to the calculated degree of risk so that the range becomes narrower as the calculated degree of risk increases.

A computing device, including a processor configured to receive sensor data from a control device. The control device may include a control processor configured to execute control instructions to control an actuator of a target electromechanical system and may further include one or more sensors. The processor may identify a first subset of the sensor data and a second subset of the sensor data. The processor may generate first control instructions based on the first subset and transmit the first control instructions to the control processor of the control device. The processor may transmit the second subset to a remote computing device. In response to transmitting the second subset to the remote computing device, the processor may receive a remote processing result from the remote computing device. The processor may generate second control instructions from the remote processing result and transmit the second control instructions to the control processor.

An operation adjustment apparatus includes a camera arranged so as to capture images of a robot and a hand. The robot controller includes an operation control unit that sends an operation command to the robot at a predetermined control cycle. The camera captures images at a time interval that coincides with the control cycle. A determination unit of the robot controller determines whether an operation of the hand is appropriate based on a result of image processing performed by an image processing unit. If the determination unit determines that the operation of the hand is not appropriate, a correction unit of the robot controller corrects a command statement included in an operation program so that the operation of the hand is an appropriate operation.

A valve driver system for driving a plurality of valves of a valve manifold. The system includes a plurality of valve drivers, wherein each valve driver is configured to drive a zone of one or more valves of the manifold; and, a power board that separately powers the respective valve drivers such that the valve drivers are powered separately with a separate power source that can individually power the valve driver. A multiple safety zone valve driver system for driving a plurality of valves of a valve manifold. The system includes a plurality of valve drivers; a first safe PM output; and a second safe PM output. The first and second safe PM outputs are configured such that in response to a first type of safety event the first PM output shuts off power to the first one or more valve drivers and the second PM output maintains power to the second one or more valve drivers. A zoning adapter for adapting logical addresses of valve drivers to physical addresses of valves of a valve manifold. A conversion portion converts logical addresses to physical addresses of the valves in the different zones of the valve manifold with a spacing in one or more portions of the logical addresses.

Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.