Methods and systems for deploying autonomous vehicles to form a barricade in a coordinated response to an imminent threat are described. In one embodiment, a method for deploying autonomous vehicles to form a barricade is described. The method includes determining at least one location for a barricade and determining a plurality of autonomous vehicles that are available to form the barricade. The method also includes sending instructions to the plurality of autonomous vehicles to form the barricade at the at least one location. In response to the instructions, the plurality of autonomous vehicles are configured to move to the at least one location and form the barricade.

A hybrid modular storage fetching system with a robot execution system (REX) is described. In an example implementation, a REX may induct, into the hybrid modular storage fetching system, an order identifying items to be fulfilled by automated guided vehicles (AGVs) at an order fulfillment facility. The REX may generate at task list including tasks for a first and second AGV, instruct the first AGV to retrieve a first item in the order from a first storage area based on the task list and deliver the first item to a pick-cell station. The REX may also instruct the second AGV to retrieve a second item of the order from a second storage area and deliver the second item to the pick-cell station. The REX may communicate with other components of the hybrid modular storage fetching system to coordinate the paths of the AGVs to fulfill the order.

Autonomous vehicles including ladders and related methods are disclosed. An example system includes an autonomous vehicle including an integrated ladder and a processor to detect a state of the ladder as being in one of a stowed state, a deployed state, or a use state; in response to detecting that the ladder is in the stowed state, cause the autonomous vehicle to operate in a first drive mode and a second drive mode; in response to detecting that the ladder is in the deployed state, cause the autonomous vehicle to operate in the second drive mode and to restrict from operating in the first drive mode; and in response to detecting that the ladder is in the use state, cause the autonomous vehicle to refrain from operating in the first drive mode and the second drive mode.

The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

An autonomous vehicle (AV) implements a health protocol that may reduce pathogen transmission between users of the AV. The AV is equipped with a thermal sensor that captures a body temperature of a user. The AV compares the user’s temperature to a threshold temperature, and if the user’s temperature exceeds the threshold temperature, the AV performs checks to ensure that the user’s planned trip follows current regulations or recommendations. For example, the AV confirms that the user is traveling between the user’s home and a healthcare facility. If the trip is permitted, the AV enables the user to enter the AV. The AV may include a disinfectant system for disinfecting the passenger compartment or surfaces after the user exits the AV.

A vehicle control method to be executed by a controller for controlling a vehicle that travels in an area including a plurality of floors, wherein the controller is configured to: in a case where detecting occurrence of a disaster and determining that a floor on which the vehicle exists is different from a floor on which a first evacuation place being a priority evacuation place exists, set a destination to a second evacuation place existing on a floor that is a same as the floor on which the vehicle exists; and cause the vehicle to move to the second evacuation place.

The present invention relates to an autonomous driving mobile service robot warehousing and delivery system that is capable of systematically storing and delivering a plurality of robot bodies from line parts by means of a server and comparing the number of delivery times of the robot bodies by line part to allow the robot bodies to be delivered sequentially from the line part having the smallest number of delivery times, thereby distributing the usage rate of the robot bodies disposed by line part.

A control device controlling the movement route of a transportation vehicle calculates a movement route to a target position of the transportation vehicle and, in a case where an obstacle exists on the calculated movement route, counts the number of detours indicating the magnitude of an influence of the obstacle on movement route calculation, and calculates the movement route again so as to avoid the obstacle.

A position and tracking system for radio-based localization in an operating room, includes a receiver, a mobile cart, a processor, and a memory coupled to the processor. The mobile cart includes a robotic arm and a transmitter in operable communication with the receiver. The memory has instructions stored thereon which, when executed by the processor, cause the system to receive, from the transmitter, a signal including a position of the mobile carts in a 3D space based on the signal communicated by the transmitter and determine a spatial pose of the mobile carts based on the received signal.

To load and unload a trailer, an autonomous mobile robot determines its location and the location of objects within the trailer relative to the trailer itself, rather than relative to a warehouse. The autonomous mobile robot determines its location the location of objects within the trailer relative to the trailer. The autonomous mobile robot navigates within the trailer and manipulates objects within the trailer from the trailer's reference frame. Additionally, the autonomous mobile robot uses a centerline heuristic to compute a path for itself within the trailer. A centerline heuristic evaluates nodes within the trailer based on how far away those nodes are from the centerline. If the nodes are further away from the centerline, they are assigned a higher cost. Thus, when the autonomous mobile robot computes a path, the path is more likely to stay near the centerline of the trailer rather than get closer to the sides.