A robot cluster scheduling system includes a user layer, an intermediate layer, an application layer, a plug-in layer and a data persistence layer. The intermediate layer includes a processor mapping module and a state acquisition module. The application layer includes a task scheduling module and a traffic scheduling module. The plug-in layer includes a task solving engine and a traffic planning engine. The task solving engine is configured to determine a target robot according to a parameter of a task and state data. The traffic planning engine is configured to determine a target route. The task solving engine and the traffic planning engine each provide an application programming interface (API).

Systems and methods for industrial robotic platforms. Squads of industrial robots autonomously communicate and work together. A control center may monitor the autonomous operations. Software at the control center, squad, and robot levels forms a distributed control system that analyzes various data related to the platform for monitoring of the various systems. Artificial intelligence, such as machine learning, is implemented at the control center, squad, and/or robot levels for swarm behavior driven by intelligent decision making. Each robot includes a universal platform attached to a task-specific tooling system. The robots may be mining robots, with a mining-specific tooling system attached to the universal framework, and configured for mining tasks. The platform is modular and may be used for other industrial applications and/or robot types, such as construction, satellite swarms, fuel production, disaster recovery, communications, remote power, and others.

A system for estimating a pose of a robot includes a particle filter to track the pose of the robot using particles that defining a probability of pose of the robot and a particle tuner to update the particles of the robot based on particles of neighboring robot. Upon receiving data indicative of relative pose between a pose of the robot and a pose of a neighboring robot, and particles of the neighboring robot, the particle tuner pairs an arbitrarily sampled particle of the robot with an arbitrarily sampled particle of the neighboring robot, determines a weight of the paired particles in reverse proportion to an error between a relative pose defined by the paired particles and the relative pose between the robot and the neighboring robot, and updates the particles of the robot in accordance to the weights of corresponding paired particles.

A system for localizing a swarm of robotic platforms utilizing ranging sensors. The swarm is localized by purposely leaving some of the platforms of the swarm stationary, providing localization to the moving ones. The platforms in the swarm can alternate between a stationary and moving state.

A method for operating a multi-agent system having a plurality of robots. Each of the robots execute the following method cyclically until a target system state is achieved: starting from an instantaneous system state, determining possible options where progress is made along a path of system states in a predefined, deterministic finite automaton; the options defining actions through which a transition from a current to a subsequent system state can be achieved; determining a cost value for each of the possible options to carry out an action specified by the option; performing an auction, the cost values ascertained for each option being considered by each of the remaining robots; and executing an action, which corresponds to one of the options, as a function of all of the cost values which are determined or received for the respective option.

A production system includes a first manufacturing machine and a second manufacturing machine. The production system also includes a production control unit configured to control productivities of the first and second manufacturing machines. In response to detecting a breakdown sign in the first manufacturing machine, a stop time of the first manufacturing machine is predicted. After the detection of the breakdown sign and before the first manufacturing machine stops, the productivity control unit updates the productivities of the first and/or second manufacturing machines, causing the first manufacturing machine and/or the second manufacturing machine to have an updated productivity equal to or greater than its original productivity, such that a total productivity of the first manufacturing machine and the second manufacturing machine increases.

A method of provisioning robotic fleet resources includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks that are to be performed in performance of the job. The method includes determining a robotic fleet configuration data structure corresponding to the job based on the set of tasks and a fleet resource inventory that indicates fleet resources. The method includes determining a respective provisioning configuration for each respective fleet resource. The method includes provisioning the respective fleet resource based on the respective provisioning configuration and a set of resource provisioning rules that are accessible to an intelligence layer to ensure that provisioned resources comply with the provisioning rules. The method includes deploying the robotic fleet to perform the job.

A method includes receiving a request for a robotic fleet to perform a job and defining a set of tasks that are to be performed in performance of the job. The method includes assigning robots selected from a robot inventory to the set of tasks based on a robot inventory data structure that indicates, for each robot, a status and set of baseline features. The robots include one or more assigned multi-purpose robots that can be configured for different tasks and different environments. The method includes determining a configuration for each assigned robot based on the respective task that is assigned and a components inventory. The components inventory indicates multiple components and, for each component, a status and a set of extended capabilities. The method includes configuring the one or more assigned multi-purpose robots based on the respective configurations. The method includes deploying the robotic fleet to perform the job.

A swarm autonomy system and swarm autonomy method for organizing multiple industrial robots to carry out a number of manufacturing tasks comprises a swarm core and at least one swarm fleet, wherein, the swarm core is configured to manage the swarm autonomy system and generate a swarm plan; and the swarm fleet is configured to execute a manufacturing execution according to the swarm plan.

A robot system includes a robot including a robot main body having a receiving unit that receives a predetermined operation, a control apparatus that controls actuation of the robot main body, and a transmitting unit that, when the receiving unit receives the operation, transmits information representing reception of the operation, and an instruction apparatus having a receiving unit that receives the information transmitted by the transmitting unit and a first reporting unit, and instructing the control apparatus to execute an operation program, wherein, when the instruction apparatus is in a condition with a right for control in which the instruction apparatus can instruct the control apparatus to execute the operation program, when the receiving unit receives the information, the first reporting unit reports that the instruction apparatus is in the condition with the right for control.