Abstract: Implementations relate to rendering mission action(s) in dependence on metadata associated with mission actions for an industrial environment. The rendered mission action(s) can include a first mission action rendered in a first manner and a second mission action rendered in a second manner different from the first manner. For example, the first mission action can be rendered with first graphical features based on first metadata of the first mission action being in a first level of granularity (e.g., the first metadata specifying a robot pose and a camera pose). The second mission action can be rendered with second graphical features based on second metadata of the second mission action being in a second level of granularity (e.g., the second metadata specifying a robot pose but no camera pose). Additionally or alternatively, the one or more mission actions can be rendered based on user input, and/or can be rendered in response to detecting a particular object or event.

Abstract: Implementations relate to translating between a base map of an industrial facility and robot specific map(s) utilized by robot(s) to navigate about the industrial facility. First translation data is generated based on comparing the base map and a first robot map, and second translation data is generated based on comparing the base map and a second robot map. Using the first and second translation data, a pose of a first environmental feature detected by the first robot in the first robot map can be translated and graphically rendered in a corresponding pose in the base map, and a pose of a second environmental feature in the second robot map can be translated and graphically rendered in a corresponding pose in the base map. Association between industrial data received for industrial components observed in the base map may also be associated with detection of an environmental feature in a robot-specific map.

Abstract: Implementations relate to rendering mission action(s) in dependence on metadata associated with mission actions for an industrial environment. The rendered mission action(s) can include a first mission action rendered in a first manner and a second mission action rendered in a second manner different from the first manner. For example, the first mission action can be rendered with first graphical features based on first metadata of the first mission action being in a first level of granularity (e.g., the first metadata specifying a robot pose and a camera pose). The second mission action can be rendered with second graphical features based on second metadata of the second mission action being in a second level of granularity (e.g., the second metadata specifying a robot pose but no camera pose). Additionally or alternatively, the one or more mission actions can be rendered based on user input, and/or can be rendered in response to detecting a particular object or event.

Abstract: Implementations relate to translating between a base map of an industrial facility and robot specific map(s) utilized by robot(s) to navigate about the industrial facility. First translation data is generated based on comparing the base map and a first robot map, and second translation data is generated based on comparing the base map and a second robot map. Using the first and second translation data, a pose of a first environmental feature detected by the first robot in the first robot map can be translated and graphically rendered in a corresponding pose in the base map, and a pose of a second environmental feature in the second robot map can be translated and graphically rendered in a corresponding pose in the base map. Association between industrial data received for industrial components observed in the base map may also be associated with detection of an environmental feature in a robot-specific map.

Abstract: Implementations set forth herein relate to triaging of robots at an industrial facility using generated snapshots that can be based on an operating status of various features of each particular robot. The snapshots can be generated from data generated by each robot and/or data observed for a particular robot, such as images captured of a particular robot. Each snapshot can be utilized to estimate a likelihood or probability that each robot can complete the task without first visiting a service station. When a probability for a particular task is satisfied, the robot predicted to complete the task can be assigned to the particular task. Alternatively, or additionally, when certain estimated probabilities do not satisfy a threshold for completing the task, each robot associated with such an estimated probability can be directed to a service station of the industrial facility.

Abstract: Implementations relate to rendering mission action(s) in dependence on metadata associated with mission actions for an industrial environment. The rendered mission action(s) can include a first mission action rendered in a first manner and a second mission action rendered in a second manner different from the first manner. For example, the first mission action can be rendered with first graphical features based on first metadata of the first mission action being in a first level of granularity (e.g., the first metadata specifying a robot pose and a camera pose). The second mission action can be rendered with second graphical features based on second metadata of the second mission action being in a second level of granularity (e.g., the second metadata specifying a robot pose but no camera pose). Additionally or alternatively, the one or more mission actions can be rendered based on user input, and/or can be rendered in response to detecting a particular object or event.

Abstract: Implementations relate to translating between a base map of an industrial facility and robot specific map(s) utilized by robot(s) to navigate about the industrial facility. First translation data is generated based on comparing the base map and a first robot map, and second translation data is generated based on comparing the base map and a second robot map. Using the first and second translation data, a pose of a first environmental feature detected by the first robot in the first robot map can be translated and graphically rendered in a corresponding pose in the base map, and a pose of a second environmental feature in the second robot map can be translated and graphically rendered in a corresponding pose in the base map. Association between industrial data received for industrial components observed in the base map may also be associated with detection of an environmental feature in a robot-specific map.

Abstract: A system that operates using Open Platform Communications (OPC) Unified Architecture (UA) includes: a redundant server set including a first OPC UA server and a second OPC UA server; an OPC UA client that designates an endpoint Uniform Resource Locator (URL) to communicate with the redundant server set; and a load balancer (LB) connected between the redundant server set and the OPC UA client. The OPC UA client sends a request for connection to the endpoint URL. The first OPC UA server is an active server. The second OPC UA server is a standby server. The LB proxies the connection to the first OPC UA server. The end point ULR is different from a URL of each of the first OPC UA server and the second OPC UA server.

Abstract: A system that operates using Open Platform Communications (OPC) Unified Architecture (UA) includes: a redundant server set including a first OPC UA server and a second OPC UA server; an OPC UA client that designates an endpoint Uniform Resource Locator (URL) to communicate with the redundant server set; and a load balancer (LB) connected between the redundant server set and the OPC UA client. The OPC UA client sends a request for connection to the endpoint URL. The first OPC UA server is an active server. The second OPC UA server is a standby server. The LB proxies the connection to the first OPC UA server. The end point ULR is different from a URL of each of the first OPC UA server and the second OPC UA server.