A system and method for offloading scalable robotic tasks in a mobile robotics framework. The system comprises a cluster of mobile robots and they are connected with a back-end cluster infrastructure. It receives scalable robotic tasks at a mobile robot of the cluster. The scalable robotics tasks include building a map of an unknown environment by using the mobile robot, navigating the environment using the map and localizing the mobile robot on the map. Therefore, the system estimate the map of an unknown environment and at the same time it localizes the mobile robot on the map. Further, the system analyzes the scalable robotics tasks based on computation, communication load and energy usage of each scalable robotic task. And finally the system priorities the scalable robotic tasks to minimize the execution time of the tasks and partitioning the SLAM with computation offloading in edge network and mobile cloud server setup.

A numerical controller of the invention includes a multi-core processor having a plurality of central processing unit (CPU) cores. Herein, importance is assigned in advance to each of a plurality of processes related to numerical control, and load distribution of the multi-core processor is performed by allocating the respective processes to the plurality of CPU cores based on the assigned importance.

A numerical control device includes a multicore CPU for outputting a position command value of a servomotor, an ASIC including a servo controller, which outputs a current command value to an amplifier for driving the servomotor, and another processor, and a DSP for reading the position command value and controlling the servomotor such that the servomotor moves to a position indicated by the position command value. The CPU and the ASIC are connected through a plurality of serial interfaces.

A system and method for offloading scalable robotic tasks in a mobile robotics framework. The system comprises a cluster of mobile robots and they are connected with a back-end cluster infrastructure. It receives scalable robotic tasks at a mobile robot of the cluster. The scalable robotics tasks include building a map of an unknown environment by using the mobile robot, navigating the environment using the map and localizing the mobile robot on the map. Therefore, the system estimate the map of an unknown environment and at the same time it localizes the mobile robot on the map. Further, the system analyzes the scalable robotics tasks based on computation, communication load and energy usage of each scalable robotic task. And finally the system priorities the scalable robotic tasks to minimize the execution time of the tasks and partitioning the SLAM with computation offloading in edge network and mobile cloud server setup.

A device may receive operating information obtained by one or more sensors associated with plant equipment. The operating information may identify one or more operating parameters associated with operation of the plant equipment. The device may identify one or more portions of the operating information to be provided for parallel processing, and may prioritize the one or more portions for parallel processing based on a criticality of the plant equipment or a state of the plant equipment. The device may provide the one or more portions of the operating information for parallel processing based on the prioritization, and may determine one or more results associated with parallel processing of the one or more portions of the operation information. The device may provide the one or more results for display or to control operation of the plant equipment concurrently with operation of the plant equipment.

A numerical control device includes a multicore CPU for outputting a position command value of a servomotor, an ASIC including a servo controller, which outputs a current command value to an amplifier for driving the servomotor, and another processor, and a DSP for reading the position command value and controlling the servomotor such that the servomotor moves to a position indicated by the position command value. The CPU and the ASIC are connected through a plurality of serial interfaces.

A numerical controller of the invention includes a multi-core processor having a plurality of central processing unit (CPU) cores. Herein, importance is assigned in advance to each of a plurality of processes related to numerical control, and load distribution of the multi-core processor is performed by allocating the respective processes to the plurality of CPU cores based on the assigned importance.