In one embodiment, a non-transitory computer readable medium may include computer-executable instructions that, when executed by a processor, may cause processor to receive a set of user data associated with a user that is attempting to access an electronic lock, receive a request to actuate a locking mechanism of the electronic lock configured to prevent the user from accessing a machine in an industrial automation system, actuate the locking mechanism in response to the request and the set of user data corresponding to an expected set of data, store a log of the request and the set of user data, and send the log to a cloud-based computing system.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

The present disclosure relates to a motion-controlling method of a robot and the robot thereof. A main control circuit continuously transmits a controlling instruction to a cache circuit. The controlling instruction may include the controlling information of a specific servo. A driving circuit is configured to obtain and analyze the controlling instruction from the cache circuit, so as to obtain the controlling information of the specific servo. The driving circuit transmits the controlling information to the specific servo to control the specific servo. As such, coherence of the robot may be improved.

A robotic system is disclosed. The robotic system includes a robot with an arm. The arm is configured to be selectively extendable and retractable. An enclosure is coupled to a distal end of the arm. The enclosure includes a limited range network. The limited range network is configured to communicate with another computing device, when the arm is selectively extended.

A robotic system is disclosed. The robotic system includes a robot. A module is coupled to the robot. An item is disposed within the module. The module includes a release door configured to be selectively opened and closed. When the release door is selectively opened, the item is dropped from the module.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

In one embodiment, a non-transitory computer readable medium may include computer-executable instructions that, when executed by a processor, may cause processor to receive a set of user data associated with a user that is attempting to access an electronic lock, receive a request to actuate a locking mechanism of the electronic lock configured to prevent the user from accessing a machine in an industrial automation system, actuate the locking mechanism in response to the request and the set of user data corresponding to an expected set of data, store a log of the request and the set of user data, and send the log to a cloud-based computing system.