According to one embodiment, a data collection system includes an event data collector, a state machine generator, a state machine list, and a state machine driver. The event data collector collects sense signals respectively as a plurality of event data. The state machine generator generates a state machine as a model corresponding to the workpiece. One of the sense signals is acquired when the workpiece is fed into the processing system. The state machine generator generates the state machine and generates an ID for the state machine when the event data collector collects one of the plurality of event data corresponding to the one of the sense signals. The state machine driver drives the state machine retained in the state machine list by sending, to the state machine retained in the state machine list, an event corresponding to another one of the sense signals.

According to one embodiment, an electronic apparatus includes a receiver, a processor and a transmitter. The receiver receives a reception signal including a value indicating a physical quantity related to operation of a control target object at a communication destination. The processor determines a state of wireless communication between the electronic apparatus and the communication destination. The processor calculates a target value for instructing operation of the control target object. The processor generates a transmission signal including a value obtained by modifying the target value. The transmitter transmits the transmission signal to the control target object.

An industrial controller that integrates execution of a control program on the industrial controller with execution of additional functions on an external processing device is disclosed. Integrating the external processing device provides an improved system for third party development of control functions which may be unique to specific applications. The system manages communication between the industrial controller and the external processing device, manages access to data stored in the industrial controller, and makes the details of the integration transparent to the programmer.

A computer-implemented method for planning an operation of a technical system within its environment. The method includes: obtaining state information comprising: a current domain, a time step and a current state; determining by heuristics costs for reachable states from the current state; selecting a heuristics by a policy out of a set of predefined heuristics depending on the state information and costs; choosing the state with the lowest cost returned by the selected heuristic from the reachable states, and determining an operation of the technical system out of the set of possible operation that has to be carried out by the technical system to reach said state with the lowest costreturned by the selected heuristic.

A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.

A state machine controller to dynamically plan a robot's path. An industrial robot such as a multi-arm articulated robot operates in a workspace according to a program. A sensor or camera monitors the workspace and detects any object, such as a person, approaching or entering the workspace. The sensor provides input to the state machine controller, which includes states of; track current path, change speed, and replan path. When an object approaches or enters the workspace, the state machine determines if a transition to the change speed state is necessary. After reducing robot speed in the change speed state, the state machine can resume the original path and speed if the object has cleared the workspace, further reduce speed to zero if necessary to avoid a collision, or transition to the replan path state to compute a new path to the goal position which avoids the object in the workspace.

A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.

A control device calculates a specified quantile in stored data relating to a load applied on a spindle, as a target spindle load, and controls a feed speed of the spindle as to a work, so that the measured load applied on the spindle is the calculated target spindle load. A user can set the target spindle load with the load on the spindle measured in a state in which the work is being stably machined as a reference.

A state machine controller to dynamically plan a robot's path. An industrial robot such as a multi-arm articulated robot operates in a workspace according to a program. A sensor or camera monitors the workspace and detects any object, such as a person, approaching or entering the workspace. The sensor provides input to the state machine controller, which includes states of; track current path, change speed, and replan path. When an object approaches or enters the workspace, the state machine determines if a transition to the change speed state is necessary. After reducing robot speed in the change speed state, the state machine can resume the original path and speed if the object has cleared the workspace, further reduce speed to zero if necessary to avoid a collision, or transition to the replan path state to compute a new path to the goal position which avoids the object in the workspace.

According to one embodiment, an electronic apparatus includes a receiver, a processor and a transmitter. The receiver receives a reception signal including a value indicating a physical quantity related to operation of a control target object at a communication destination. The processor determines a state of wireless communication between the electronic apparatus and the communication destination. The processor calculates a target value for instructing operation of the control target object. The processor generates a transmission signal including a value obtained by modifying the target value. The transmitter transmits the transmission signal to the control target object.