A method is provided for automatically creating data relating to an automation system, wherein a plurality of software agents is assigned to the automation system. The software agents are connected to the cloud via a gateway, wherein the cloud holds an agent configuration for each software agent. Data captured by at least some of the software agents and relate to at least one device, service, and/or data source of the automation system, which may be reached by the particular software agent, are received by the gateway. At least one software agent assigned to the automation system is configured by the gateway during processing of one or more agent configurations from the cloud and the captured data relating to at least one device, service, and/or data source may be reached by the particular software agent.

Automation agents are utilized to modify operating characteristics of a client, such as a piece of equipment. An operating characteristic of equipment can be selectively adjusted by modification of a set point value, which is associated with the operating characteristic of the equipment. The equipment can adjust the operating characteristic based upon the set point value. A remote control indication can be provided to indicate when a set point value is available for modification. The remote control indication is adjustable by an execution module associated with the equipment. A set point latch can be provided for indicating when the set point value is modifiable by an automation agent.

Automation agents are utilized to modify operating characteristics of a client, such as a piece of equipment. An operating characteristic of equipment can be selectively adjusted by modification of a set point value, which is associated with the operating characteristic of the equipment. The equipment can adjust the operating characteristic based upon the set point value. A remote control indication can be provided to indicate when a set point value is available for modification. The remote control indication is adjustable by an execution module associated with the equipment. A set point latch can be provided for indicating when the set point value is modifiable by an automation agent.

A control system includes a clustered architecture having a master controller, a central control section including one or more first remote controllers under direct control of the master controller, and a distributed control section including a cluster controller controlled by the master controller. The cluster controller controls the activities of one or more second remote controllers. Each of the first and second remote controllers are utilized to drive one or more axes.

A control system includes a clustered architecture having a master controller, a central control section including one or more first remote controllers under direct control of the master controller, and a distributed control section including a cluster controller controlled by the master controller. The cluster controller controls the activities of one or more second remote controllers. Each of the first and second remote controllers are utilized to drive one or more axes.

A method is provided for automatically creating data relating to an automation system, wherein a plurality of software agents is assigned to the automation system. The software agents are connected to the cloud via a gateway, wherein the cloud holds an agent configuration for each software agent. Data captured by at least some of the software agents and relate to at least one device, service, and/or data source of the automation system, which may be reached by the particular software agent, are received by the gateway. At least one software agent assigned to the automation system is configured by the gateway during processing of one or more agent configurations from the cloud and the captured data relating to at least one device, service, and/or data source may be reached by the particular software agent.

Using various embodiments, an autonomous robot using data captured from a living subject are disclosed. In one embodiment, an autonomous robot is described comprising a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects. The movements of the robotic skeleton are resultant due to control signals received by effectors present near or on the robotic skeleton. The robot can be configured to receive sensor data transmitted from a sensor apparatus that periodically gathers the sensor data from a living subject. The robot can then process the sensor data to transmit control signals to the effectors to simulate the actions performed by the living subject and perform a predictive analysis to learn the capability of generating spontaneous and adaptive actions, resulting in an autonomous robot that can adapt to its surroundings.

Using various embodiments, an autonomous robot using data captured from a living subject are disclosed. In one embodiment, an autonomous robot is described comprising a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects. The movements of the robotic skeleton are resultant due to control signals received by effectors present near or on the robotic skeleton. The robot can be configured to receive sensor data transmitted from a sensor apparatus that periodically gathers the sensor data from a living subject. The robot can then process the sensor data to transmit control signals to the effectors to simulate the actions performed by the living subject and perform a predictive analysis to learn the capability of generating spontaneous and adaptive actions, resulting in an autonomous robot that can adapt to its surroundings.