A control device for controlling a first variable physical parameter characterized based on a physical parameter application state includes a sensing unit and a processing unit. The sensing unit sensing a second variable physical parameter to generate a sense signal, wherein the second variable physical parameter is characterized based on a physical parameter application range represented by a measurement value application range. The processing unit is coupled to the sensing unit, obtains a measured value in response to the sense signal, and causes the first variable physical parameter to be in the physical parameter application state under a condition that the physical parameter application range which the second variable physical parameter is currently in is determined by checking a mathematical relation between the measured value and the measurement value application range.

A control system for a device for continuously conveying material is provided for at least one conveyor belt device adapted for continuously conveying the material and having at least one conveyor belt. The conveyor belt device can be operated by one or more drives in working processes to provide a predeterminable setpoint conveyor flow. The control system is configured to register at least one value of a power and/or energy consumed by at least one of the drives during a working process and to determine an energy efficiency for the respective working process and for the predetermined setpoint conveyor flow with the aid of the at least one value of the consumed power and/or energy. The control system also configured to provide control data relating to drive speed for the at least one drive as a function of the energy efficiency.

There are provided systems, methods, and apparatus, for optimizing a policy controller to control a robotic agent that interacts with an environment to perform a robotic task. One of the methods includes optimizing the policy controller using a neural network that generates numeric embeddings of images of the environment and a demonstration sequence of demonstration images of another agent performing a version of the robotic task.

The present invention provides an intelligent cultivating system, which is used for monitoring and identifying a current cultivating status of a cultivating creature, and includes a processing center, a remote monitoring system and a harvesting system. The processing center is used for providing a cultivating regulation and controlling process for monitoring and identifying a current cultivating status. The remote monitoring system is used for regulating and controlling an automatic cultivating parameter of the cultivating regulation and controlling process. The harvesting system is used for preparing a dispatching process to the cultivating creatures, and used for collecting the automatic cultivating parameter of the cultivating regulation and controlling process.

A control device includes: an input information storage unit that stores track record input information that is information regarding an input signal having a track record; an artificial intelligence control unit that controls a control target using artificial intelligence based on the input signal; and an input signal evaluation unit that judges whether a value of the input signal is within a range having a track record based on the track record input information and, if the value of the input signal is within the range having the track record, permits transmission of the input signal to the artificial intelligence control unit. The safety of the control device using artificial intelligence is enhanced.

A method and robot controller configured to obtain an inertia-vibration model of the robot arm. The inertia-vibration model defines a relationship between the inertia of the robot arm and the vibrational properties of said robot arm and have been by setting the robot arm in a plurality of different physical configurations and for each of said physical configurations of said robot arm obtaining the vibrational properties and the inertia the robot arm. The inertia-vibration model makes it possible to in a simple and efficient way to obtain the vibrational properties of different physical configurations of the robot arm whereby the robot arm can be controlled according to the vibrational properties of the robot arm. This makes it possible to reduce the vibrations of the robot arm during movement of the robot arm.

Systems, apparatuses and methods may provide for technology that obtains categorization information and corresponding uncertainty information from a perception subsystem, wherein the categorization information and the corresponding uncertainty information are to be associated with an object in an environment. The technology may also determine whether the corresponding uncertainty information satisfies one or more relevance criteria, and automatically control the perception subsystem to increase an accuracy in one or more subsequent categorizations of the object if the corresponding uncertainty information satisfies the one or more relevance criteria. In one example, determining whether the corresponding uncertainty information satisfies the relevance criteria includes taking a plurality of samples from the categorization information and the corresponding uncertainty information, generating a plurality of actuation plans based on the plurality of samples, and determining a safety deviation across the plurality of actuation plans, wherein the relevance criteria are satisfied if the safety deviation exceeds a threshold.

A method and a robot controller for controlling a robot arm, where the robot arm comprises a plurality of robot joints connecting a robot base and a robot tool flange, where each of the robot joints comprises an output flange movable in relation to a robot joint body and a joint motor configured to move the output flange in relation to the robot joint body. The robot arm is controlled based on vibrational properties of at least one external object connected to the robot arm, where the vibrational properties are received via an external object installation interface by generating control signals for said robot arm based on a target motion and the received vibrational properties of the at least one external object, the control signal comprises control parameters for said joint motor.

A system including a system controller configured to transmit a first amount of commands in order to produce a desired effect by a group of actuators acting in combination. A system controller configured to control a group of at least two actuators in order to produce at least one combined effect, wherein the number of actuators is greater than or equal to the number of effects. A system controller configures to independent and variable bandwidths or responses of the desired effects produced by the actuators acting in combination.

A method and system for operating an industrial process using an integrated quadratic controller (IQC) is provided for a single input multiple output system (SIMO). A target process value (PV) associated with an output of the industrial process is used to define an optimal output of the industrial process. Manipulated-variables (MVs) associated with a plurality of loads within the industrial process are utilized for controlling a rate of operation associated with the load impacting the PV of the industrial process. Quadratic programming (QP) is defined to optimize proportional action gains for the determined MVs given an update control variable PV. QP gain-modified proportional action are integrated into a control system of the industrial process and a modified control system to update MV output state map defining the multiple output to control respective loads in the industrial control process for achieving the target PV is generated.