Systems and methods for maintaining a current map of a workspace using on-demand sensors and fixed sensors are described herein. For example, a system may include a fixed sensor positioned within the workspace, an on-demand sensor available for selective deployment in the workspace, and a computing device. The computing device may maintain a digital map of the workspace, identify a region in the workspace for collection of additional sensor information, and cause the on-demand sensor to gather the additional sensor information for updating the digital map.

Systems and methods for gathering sensor information using on-demand sensors and fixed sensors are described herein. For example, a system may include an on-demand sensor available for selective deployment within a workspace in which a plurality of mobile drive units transport a plurality of inventory holders. The system may also include a computing device that monitors movement of a mobile drive unit based on first sensor information. The computing device may also detect a triggering condition relating to the movement of the mobile drive unit. The computing device may also cause an on-demand sensor to collect second sensor information within the workspace based at least in part on detecting the triggering condition.

In an embodiment an automated material handling system (AMHS) for a semiconductor fabrication facility (FAB) includes: a sensor supported by a rail, wherein the sensor is configured to collect sensor data characterizing a vehicle that moves along the rail, wherein the vehicle is configured to carry at least one wafer; and a monitoring module configured to: detect a trigger event based on the sensor data, and initiate a remediation action in response to the trigger event.

Disclosed autonomous mobile robot systems can be used to safely and efficiently navigate through a facility while avoiding objects in the path of the autonomous mobile robot during completion of a task. Specifically, a safety zone of a first size may be generated around an autonomous mobile robot based at least in part on first data from a first set of sensors associated with the autonomous mobile robot that are configured to identify an object within the safety zone. Information indicating a current speed of the autonomous mobile robot from associated propulsion components may be received and utilized to update the first size and a shape of the safety zone. Instructions to cease propulsion of the autonomous mobile robot may be transmitted to the propulsion components based on first data identifying the object within the updated first size of the safety zone.

Methods and systems for dynamically maintaining a map of robotic devices in an environment are provided herein. A map of robotic devices may be determined, where the map includes predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform a task. During a performance of the task by the one or more robotic devices, task progress data may be received from the robotic devices, indicative of which of the task phases have been performed. Based on the data, the map may be updated to include a modification to the predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform at least one other task in accordance with the updated map.

Methods and systems for dynamically maintaining a map of robotic devices in an environment are provided herein. A map of robotic devices may be determined, where the map includes predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform a task. During a performance of the task by the one or more robotic devices, task progress data may be received from the robotic devices, indicative of which of the task phases have been performed. Based on the data, the map may be updated to include a modification to the predicted future locations of at least some of the robotic devices. One or more robotic devices may then be caused to perform at least one other task in accordance with the updated map.

Described in detail herein is an automated fulfillment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.

A system comprises: a remote controller that causes a vehicle to run by remote control, the vehicle being capable of running along a track in a factory during a course of manufacture, the vehicle including a vehicle communication unit and a driving controller, the vehicle communication unit having a communication function, the driving controller implementing driving control over the vehicle; a track information acquisition unit that acquires track information that is information about an environment of a track on which the vehicle is configured to run by the remote control; and a running method determination unit that determines a running method using the acquired track information, the running method including at least one of a possibility or impossibility of running of the vehicle and a running route along which the vehicle is to run.

A system and a method of operating an automated guided vehicle includes: an Automated Guided Vehicle (AGV) which is loaded with a component and transfers the component along a set travelling path in a vehicle production factory; a Programmable Logic Controller (PLC) which is provided in a process line and each of a plurality of nodes existing on the travelling path and controls a peripheral automation facility; and an operation server which is configured to control an operation of the AGV and each automation facility through the PLC, and sets a PLC control condition for controlling each automation facility for each section by collecting PLC memory data from the PLC and inquiring the PLC memory data based on a movement position of the AGV when the travelling path is set.

Described in detail herein is an automated fulfilment system including a computing system programmed to receive requests from disparate sources for physical objects disposed at one or more locations in a facility. The computing system can combine the requests, and group the physical objects in the requests based on object types or expected object locations. Autonomous robot devices can receive instructions from the computing system to retrieve a group of the physical objects and deposit the physical objects in storage containers.