Robotic systems, methods of operation of robotic systems, and storage media including processor-executable instructions are disclosed herein. The system may include a robot, at least one processor in communication with the robot, and an operator interface in communication with the robot and the at least one processor. The method may include executing a first set of autonomous robot control instructions which causes a robot to autonomously perform the at least one task in an autonomous mode, and generating a second set of autonomous robot control instructions from the first set of autonomous robot control instructions and a first set of environmental sensor data received from a senor. Execution of the second set of autonomous robot control instructions causes the robot to autonomously perform the at least one task. The method may include producing at least one signal that represents the second set of autonomous robot control instructions.

Provided is a robot control system which enables a user to easily understand correspondence between a program for a higher-level controller and an operation program for a robot control device. A robot control system 100 comprises a higher-level controller 20 and a robot control device 50. The higher-level controller 20 includes a control execution unit 22 that transmits, to the robot control device 50, command information indicating an operation command to a robot, position data accompanying the operation command, and name information indicating the name of the position data, according to a control program for controlling the robot. The robot control device 50 includes a program production unit 51 that produces an operation program for the robot on the basis of the received command information and position data, and a name information addition unit 52 that adds the received name to the position data in the operation program.

A method of performing location teaching of a robotic arm includes maneuvering an end of arm tooling of a robotic arm to a predefined position of an interface object. The robotic arm is mounted within a mounting site of a mechanical mounting structure. The interface object is positioned on a sub-system of a medication dosing system that is mounted on the mechanical mounting structure. The interface object includes an alignment feature of a known size and shape. A sensor of the end of arm tooling is engaged with the interface object. An offset between the sensor and the interface object is determined based on an interaction between the sensor and the alignment feature. A position of the end of arm tooling is incremented with respect to the interface object along at least one axis. An actual position of the interface object is determined relative to the robotic arm.

Implementations described herein relate to training and refining robotic control policies using imitation learning techniques. A robotic control policy can be initially trained based on human demonstrations of various robotic tasks. Further, the robotic control policy can be refined based on human interventions while a robot is performing a robotic task. In some implementations, the robotic control policy may determine whether the robot will fail in performance of the robotic task, and prompt a human to intervene in performance of the robotic task. In additional or alternative implementations, a representation of the sequence of actions can be visually rendered for presentation to the human can proactively intervene in performance of the robotic task.

A robot teaching control method includes continuing to detect a position or an attitude of a robot while servo control of the robot is an ON state in a teaching mode for teaching of the robot, and, when receiving a teaching instruction after the servo control is switched from ON to OFF, storing last detected the position or the attitude as a teaching position or a teaching attitude. Further, the position or the attitude is detected at predetermined intervals.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for rule execution in an online robotics system. One of the systems includes an execution engine subsystem and an execution memory subsystem. The execution engine receives rules having types and subtypes that represent a particular entity in an operating environment of a robot, provides subscription requests to the execution memory subsystem, and receives events emitted by the execution memory subsystem. The an execution memory receives subscription requests from the execution engine subsystem, receives new observations, converts the new observations into fact updates, performs pattern matching with the fact updates against the patterns of the subscription requests, and emits events to the execution engine subsystem for patterns that have been matched by the fact updates.

A control method includes: (a) setting a first operation mode using a first deviation threshold as a threshold to detect a deviation error in an amount of control and a second operation mode using a second deviation threshold that is higher than the first deviation threshold; and (b) selecting one of the first operation mode and the second operation mode and executing an operation of a robot.

Systems, methods and apparatus for automated vehicle wheel removal and replacement are provided. One system includes a computer system with applications for scheduling the replacement of tires for the vehicle. An electronically controlled lift device and robotic apparatus is configured for interaction with the computer system. The lift device mechanically adjusts arms for placement on lift points of vehicles. The robotic apparatus detects positioning of lug nut configuration for a wheel, removes lug nuts, and then removes the wheel from the wheel hub with gripping arms. The wheel and tire are then handed off to a separate tire changing machine. When a new tire is replaced the robotic apparatus then mounts the wheel to the original wheel hub, and then secures the lug nuts to the lug nut bolts.

Systems, methods and apparatus for automated vehicle wheel removal and replacement are provided. One system includes a computer system with applications for scheduling the replacement of tires for the vehicle. An electronically controlled lift device and robotic apparatus is configured for interaction with the computer system. The lift device mechanically adjusts arms for placement on lift points of vehicles. The robotic apparatus detects positioning of lug nut configuration for a wheel, removes lug nuts, and then removes the wheel from the wheel hub with gripping arms. The wheel and tire are then handed off to a separate tire changing machine. When a new tire is replaced the robotic apparatus then mounts the wheel to the original wheel hub, and then secures the lug nuts to the lug nut bolts.

A control system of a surgical robot arm, the surgical robot arm comprising a series of joints by which the configuration of that surgical robot arm can be altered and one or more force or torque sensors, each force or torque sensor configured to sense a force or torque at a joint of the series of joints, the control system being configured to control the configuration of the surgical robot arm to be altered in response to an externally applied force or torque by: receiving sensory data from the one or more force or torque sensors indicative of a sensed force or torque at a part of the surgical robot arm resulting from the externally applied force or torque; determining a position of the part of the surgical robot arm using a reference position, whereby the sensed force or torque would be compensated by moving the part of the surgical robot arm to the determined position; sending a command signal to the surgical robot arm to drive the part of the surgical robot arm to the determined position; and updating the reference position if the difference between the reference position and the determined position is greater than a threshold displacement.