A mobile security robot includes a human-sized mannequin mounted on a vehicle. A storage unit, mounted on the vehicle, stores security devices and high-powered energy storage devices for facilitating extended patrols without recharge. A video recording system, disposed in the mannequin, continuously records images of a patrol area. Multiple sensors mounted on and proximal to the mannequin generate sensor data based on environmental conditions of the patrol area. A computing system coupled to the sensors processes the sensor data using artificial intelligence models and generates action commands for execution of tasks by actuators including electric motors, robotic arms, and supplementary attachment devices. The electric motors run the vehicle at different speeds with wheel speed feedback based on the environmental conditions and navigate the vehicle along a predefined travel path with object avoidance during patrols. User interface devices facilitate auditory and visual communication with humans in the patrol area.

A driving assistance method for assisting driving of a mobile machine, the driving assistance method includes: executing processes of, by one or more processors, acquiring at least one of a first position on an autonomous driving route and a first angle indicating a direction in which the mobile machine travels at the first position when the mobile machine deviates from the autonomous driving route by switching from autonomous driving to manual driving, and outputting driving assistance information for assisting the manual driving according to at least one of a difference between the first position and a second position that is a position of the mobile machine traveling by the manual driving, and a difference between the first angle and a second angle indicating a direction in which the mobile machine is traveling at the second position.

An operation system performs autonomous operation by using an operation server for an autonomous driving vehicle. The operation server includes a memory unit containing three-dimensional map data. An autonomous driving vehicle connects to the operation server via a wireless network. A vehicle control unit creates a traveling route based on the map data received and, when an elevator of a building is to be used, creates elevator usage information and elevator control information, including the boarding and exiting floors. The elevator is equipped with an elevator control unit that is connected to the operation server to control ascending and descending of an elevator cage. A control unit of the autonomous driving vehicle transmits the elevator usage information and the elevator control information to the elevator control unit. The elevator control unit gives a voice announcement from a voice output unit in the elevator cage.

The present invention relates to a safety compliance, identification, and security monitoring system that includes a monitoring device operable to capture images/videos of a predefined area and persons and events within the area. The monitoring device is further operable to determine whether persons within the area are wearing required personal protective equipment. In one embodiment, the monitoring device initiates an alert a safety equipment infraction. In one embodiment, the system is operable to further record an incident report identifying the nature, date, and location of the infraction, as well as the identity of the person committing the infraction. In one embodiment, the system is operable to monitor various external conditions, such as heat, humidity, smoke, and initiate an alert of the external condition detected. In one embodiment, the system detects quality assurance/quality control issues, including situations involving inspecting equipment, tools, and/or materials for non-conformance.

An agricultural vehicle includes multiple sensors operably coupled to the agricultural vehicle, and an anomaly detection system that acquires sensor data from the multiple sensors. The anomaly detection system operates on a computing device including at least one processor, and instructions that cause the processor to receive sensor data from the multiple sensors, utilize advanced machine learning model techniques to detect both static and dynamic anomalies in an agricultural field surrounding the agricultural vehicle, and control operations of the agricultural vehicle based on the detected anomalies. Related agricultural vehicles and methods are also disclosed.

A processing system includes at least one processor, which is configured to: acquire a required content of user service; acquire service capability information representing provision capabilities of the user service, which are associated with autonomous traveling devices waiting in a visual field area visually recognized by the user through a wearable terminal worn by the user; search for a target autonomous traveling device whose provision capability matches the required content among the provision capabilities represented by the service capability information for the respective autonomous traveling devices in the visual field area; display, in a superimposed manner, an XR enhanced image, which highlights the target autonomous traveling device, on the visual field area; and provide the user service by driving, within the visual field area, the target autonomous traveling device selected by the user in response to superimposed display of the XR enhanced image.

An architecture for autonomous school safety robots with behavior reinforcement is provided. The architecture can include a management server, a management portal and a number of robots for patrolling a school environment. The management portal provides an interface for an administrator to control the robots using prompts. These prompts can describe the type of behavior, object, event, occurrence, etc. that the robots should detect and can define how the robots should respond to a detection. The management portal also provides an interface for the administrator to review and respond to any reported detection.

A mobile robot including at least one sensor; a display; a driver configured to adjust an angle of the display relative to a user; memory storing instructions; and one or more processors configured to execute the instructions. The instructions, when executed by the one or more processors individually or collectively, cause the mobile robot to identify a posture change amount of the user for a threshold time based on sensing data acquired by the at least one sensor, based on the posture change amount being less than a threshold change amount, identify that position adjustment of the display is necessary, based on identifying that the position adjustment of the of the display is necessary, identify a target position of the display and a target angle of the display, and control the driver based on the target position of the display and the target angle of the display.

An autonomous mowing vehicle leverages a plurality of virtual safety bubbles and a virtual buffer around an object to avoid collisions between the object and the vehicle. The vehicle has a camera system comprising a plurality of cameras positioned around the vehicle, a mowing deck comprising one or more motorized blades for mowing plants in the environment, and a control system. The control system is configured to: capture image data from a camera system of an autonomous mowing vehicle; detect at least one object in an environment surrounding the autonomous mowing vehicle based on the image data; generate a virtual buffer for the object, the virtual buffer positioned around the object; generate a plurality of virtual safety bubbles around the autonomous mowing vehicle based on a configuration of the autonomous mowing vehicle; and perform autonomous operation of the mowing vehicle to perform, via at least the mowing deck, one or more landscaping actions in the environment while evading breach of the plurality of virtual safety bubbles by the virtual buffer of the object.

Provided is an operation system 10 for carrying out autonomous operation by using an operation server 30 for an autonomous driving vehicle, the operation server having a memory unit 32 containing three-dimensional map data, and an autonomous driving vehicle 20 connected to the operation server via a wireless network 50, wherein a vehicle control unit 61 creates a traveling route based on the map data received; and when an elevator 41 of a building 40 is to be used, creates elevator usage information 61d and elevator control information 61e, including the boarding and exiting floors; the elevator is equipped with an elevator control unit that is connected to the operation server to control ascending and descending of an elevator cage; a control unit of the autonomous driving vehicle transmits the elevator usage information and the elevator control information to the elevator control unit; and the elevator control unit gives a voice announcement from a voice output unit 43 in the elevator cage.