Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that distributes skill bundles that can guide robot execution. One of the methods includes receiving data for a skill bundle from a skill developer. The data can include a definition of one or more preconditions for a robotic system to execute a skill; one or more effects to an operating environment after the robotic system has executed the skill; and a software module implementing the skill. The software module can define a state machine of subtasks. A skill bundle can be generated from the data received from the skill developer. Data identifying the generated skill bundle can be added to a skill registry. The skill bundle can be provided to the execution robot system for installation on the robot execution system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that distributes skill bundles that can guide robot execution. One of the methods includes receiving data for a skill bundle from a skill developer. The data can include a definition of one or more preconditions for a robotic system to execute a skill; one or more effects to an operating environment after the robotic system has executed the skill; and a software module implementing the skill. The software module can define a state machine of subtasks. A skill bundle can be generated from the data received from the skill developer. Data identifying the generated skill bundle can be added to a skill registry. The skill bundle can be provided to the execution robot system for installation on the robot execution system.

Abstract: The technology provides for a robotic control system implemented on a distributed system, which may include at least one processor on a cloud computing system and at least one processor on a robot. For instance, configuration data for a plurality of controllers of the robot may be received and the plurality of controllers may be deployed on the distributed system. For example, a first controller may be deployed on the cloud while a second controller may be deployed on the robot. The system may include a cloud database and a robot database. Both databases may store configuration data and current states of the first controller and the second controller, and may be synchronized. Workload for the first controller and the second controller may both be controlled based on the configuration data and the current states of the first controller and the second controller.