A modular automation support system for modular plants includes an engineering support system comprising a control and execution engine configured to: receive data from a monitoring infrastructure of a modular plant and convert that data into semantic data which conforms to a semantic data model; use one or more semantic rules or mechanisms relating the semantic data received from the monitoring infrastructure to services provided by modules of a pipeline of the modular plant to control the pipeline in executing a process.

An interactive control method, an apparatus, and a system for an intelligent kitchen, a computer readable storage medium, and an electronic device, capable of improving the degree of intelligence of kitchen work, and improving the kitchen operation efficiency. The method includes: obtaining dish information of a dish to be cooked, and determining a cooking task according to the dish information; controlling, according to the cooking task, a target cooking station to cook the dish; determining a dish container corresponding to the dish information according to the dish information, and controlling the dish container to be transported to a dish receiving position of the target cooking station; and after the target cooking station finishes cooking and fills a cooked dish into the dish container, sending a delivery instruction to control a delivery terminal to perform a dish delivery task.

An interactive control method, an apparatus, and a system for an intelligent kitchen, a computer readable storage medium, and an electronic device, capable of improving the degree of intelligence of kitchen work, and improving the kitchen operation efficiency. The method includes: obtaining dish information of a dish to be cooked, and determining a cooking task according to the dish information; controlling, according to the cooking task, a target cooking station to cook the dish; determining a dish container corresponding to the dish information according to the dish information, and controlling the dish container to be transported to a dish receiving position of the target cooking station; and after the target cooking station finishes cooking and fills a cooked dish into the dish container, sending a delivery instruction to control a delivery terminal to perform a dish delivery task.

A manipulator system includes a manipulator configured for guiding an instrument. The system furthermore includes a controller configured to actuate the manipulator such that the instrument is pressed with a pressing force against a human body. A force reduction input device is provided separately from the manipulator and is operable by an operator to reduce the pressing force.

Provided are systems and methods for registration of location sensors. In one aspect, a system includes an instrument and a processor configured to provide a first set of commands to drive the instrument along a first branch of the luminal network, the first branch being outside a path to a target within a model. The processor is also configured to track a set of one or more registration parameters during the driving of the instrument along the first branch and determine that the set of registration parameters satisfy a registration criterion. The processor is further configured to determine a registration between a location sensor coordinate system and a model coordinate system based on location data received from a set of location sensors during the driving of the instrument along the first branch and a second branch.

Methods of operating a robotic breaker-racking apparatus are provided. A method of operating a robotic breaker-racking apparatus includes controlling a motor to drive the robotic breaker-racking apparatus to a first circuit breaker. The method includes accessing the first circuit breaker via remote or autonomous control of the robotic breaker-racking apparatus. Moreover, the method includes visually inspecting, via a camera of the robotic breaker-racking apparatus, a first relay of the first circuit breaker and/or a second relay of a second circuit breaker. Related robotic breaker-racking apparatuses are also provided.

A method includes steps of: capturing an image of a container; recognizing at least one object in the container based on the image; determining at least one first coordinate set corresponding to the at least one object; determining at least one second coordinate set that corresponds to target one (s) of the at least one first coordinate set and that relates to a fixed picking device of a robotic arm; adjusting position(s) of unfixed picking device(s) of the robotic arm if necessary; controlling the robotic arm to pick up one (s) of the at least one object that correspond(s) to the at least one second coordinate set with the fixed picking device and/or at least one unfixed picking device.

The present invention provides a technology for invoking a non-periodic-execution function module from a periodic-execution control program. A control system that comprises first and second control parts (C1, C2) and a storage device that stores control programs (210, 211) for a controller. The control programs (210, 211) include a periodic-execution function module (55B) that invokes a non-periodic-execution function module (55A). The first control part (C1) reflects the value of an input variable for the periodic-execution function module (55B) in an argument for the non-periodic-execution function module (55A) and outputs an execution start command for the function modules to the second control part (C2). The second control part (C2) outputs a return value for the non-periodic-execution function module (55A) to the first control part (C1). The first control part (C1) reflects the return value in an output variable for the periodic-execution function module (55B).

Example implementations described herein are directed to a simulation environment for a real world system involving one or more robots and one or more sensors. Scenarios are loaded into a simulation environment having one or more virtual robots corresponding to the one or more robots, and one or more virtual sensors corresponding to the one or more virtual system to train a control strategy model from reinforcement learning, which is subsequently deployed to the real world environment. In cases of failure of the real world environment, the failures are provided to the simulation environment to generate an updated control strategy model for the real world environment.

Methods, systems, and apparatus, including computer-readable storage devices, for robot navigation using 2D and 3D path planning. In the disclosed method, a robot accesses map data indicating two-dimensional layout of objects in a space and evaluates candidate paths for the robot to traverse. In response to determining that the candidate paths do not include a collision-free path across the space for a two-dimensional profile of the robot, the robot evaluates a three-dimensional shape of the robot with respect to a three-dimensional shape of an object in the space. Based on the evaluation of the three-dimensional shapes, the robot determines a collision-free path to traverse through the space.