Abstract: An automatic guided vehicle (AGV) comprising a mobile base including a drive train and configured to drive the AGV in a self-navigation mode within a facility, a first camera configured to capture first image data of objects within the facility, a second camera configured to capture second image data of objects within the facility, the second camera including a content filter, and a main control module configured to receive the first and second image data from the first and second cameras. The main control module executes a recognition neural network program. The neural network program recognizes targets in the first image data. The main control module also executes a supervisor program under user control. The supervisor program is receives the second image data and recognizes markers attached to targets in the second image data. The supervisor program produces a supervised outcome in which targets to which markers are attached are associated with categories based on user commands.

Abstract: Embodiments of the present disclosure include automated guided vehicles (AGVs) having a broadcasting system. In one embodiment, the self-driving system includes a body having one or more motorized wheels, a console coupled in an upright position to an end of the body, and a broadcasting system disposed at the console and is operable to send a notification to one or more mobile devices, wherein the broadcasting system uses a first type of positioning system and the one or more mobile devices use a second type of positioning system different from the first type of positioning system.

Abstract: A smart lawn mower comprises a traveling control module configured to control the traveling and steering of the mower, an image capturing module configured to capture the surrounding images of the mower, an operation module configured to provide a surrounding-determination information, and a storage module configured to store the surrounding-determination information. The operation module determines a grass area by analyzing the surrounding images captured by the image capturing module. The mower defines a grass area accurately without a predetermined boundary.

Abstract: An automatic guided vehicle (AGV) comprising a mobile base including a drive train and configured to drive the AGV in a self-navigation mode within a facility, a first camera configured to capture first image data of objects within the facility, a second camera configured to capture second image data of objects within the facility, the second camera including a content filter, and a main control module configured to receive the first and second image data from the first and second cameras. The main control module executes a recognition neural network program. The neural network program recognizes targets in the first image data. The main control module also executes a supervisor program under user control. The supervisor program is receives the second image data and recognizes markers attached to targets in the second image data. The supervisor program produces a supervised outcome in which targets to which markers are attached are associated with categories based on user commands.

Abstract: A luggage delivery system contains a sensor array and is configured to locate a receiving user using navigation data and, upon finding the receiving user, request identifying information from the receiving user, compare received identifying information to verifying information received from a remote computing device and/or control module, and, upon verifying that a receiving user is the designated receiving user, unlock to grant the receiving user access to the vehicle interior.

Abstract: Embodiments of the present disclosure relate to automatic guide vehicles (AGVs) that are capable of interacting with human operators. Particularly, the AGVs can follow a human operator, lead a human operator, and receive and react to gestures from a human operator. The AGVs switches directions of moving to provide human operators with easy access to components of user interface on the AGVs. The AGVs are also capable of avoiding collision with other AGVs by yielding to AGVs with a higher priority level.

Abstract: Embodiments of the present disclosure relate to a self-driving system that can engage and move an inventory holder. In one embodiment, the self-driving system includes a mobile base comprising motorized wheels, an actuator disposed within the mobile base, the actuator is operable to adjust a height of the mobile base, a console having an upper portion and a main body, the main body being coupled to a first end of the mobile base in a standing configuration, and a first camera disposed on a first side of the upper portion of the console, the first camera facing a second end of the mobile base opposing the first end.

Abstract: A self-driving vehicle system comprising a body having one or more motorized wheels, and a sensor head coupled to the body. The sensor head is movable from a retracted position to an extended position relative to the body. The sensor head comprises one or more proximity sensors and one or more cameras.

Abstract: The present disclosure relates to a self-driving system that can engage and move an inventory holder. The self-driving system includes a mobile base comprising motorized wheels, an actuator disposed within the mobile base, the actuator is operable to adjust a height of the mobile base, a console having an upper portion and a main body, the main body being coupled to a first end of the mobile base in a standing configuration, and a first camera disposed on a first side of the upper portion of the console, the first camera facing a second end of the mobile base opposing the first end.

Abstract: An automatic guided vehicle (AGV) comprising a mobile base including a drive train and configured to drive the AGV in a self-navigation mode within a facility, a first camera configured to capture first image data of objects within the facility, a second camera configured to capture second image data of objects within the facility, the second camera including a content filter, and a main control module configured to receive the first and second image data from the first and second cameras. The main control module executes a recognition neural network program. The neural network program recognizes targets in the first image data. The main control module also executes a supervisor program under user control. The supervisor program is receives the second image data and recognizes markers attached to targets in the second image data. The supervisor program produces a supervised outcome in which targets to which markers are attached are associated with categories based on user commands.

Abstract: Embodiments of the present disclosure relate to automatic guide vehicles (AGVs) that are capable of interacting with human operators. Particularly, the AGVs can follow a human operator, lead a human operator, and receive and react to gestures from a human operator. The AGVs switches directions of moving to provide human operators with easy access to components of user interface on the AGVs. The AGVs are also capable of avoiding collision with other AGVs by yielding to AGVs with a higher priority level.

Abstract: An automatic guided vehicle (AGV) comprising a mobile base including a drive train and configured to drive the AGV in a self-navigation mode within a facility, a first camera configured to capture first image data of objects within the facility, a second camera configured to capture second image data of objects within the facility, the second camera including a content filter, and a main control module configured to receive the first and second image data from the first and second cameras. The main control module executes a recognition neural network program. The neural network program recognizes targets in the first image data. The main control module also executes a supervisor program under user control. The supervisor program is receives the second image data and recognizes markers attached to targets in the second image data. The supervisor program produces a supervised outcome in which targets to which markers are attached are associated with categories based on user commands.

Abstract: A luggage delivery system contains a sensor array and is configured to locate a receiving user using navigation data and, upon finding the receiving user, request identifying information from the receiving user, compare received identifying information to verifying information received from a remote computing device and/or control module, and, upon verifying that a receiving user is the designated receiving user, unlock to grant the receiving user access to the vehicle interior.

Abstract: A self-driving vehicle management system and method configured to provide formal routing and task instructions to automated guided vehicles (AGVs). The system and method include providing any permanent or temporary change in the routing or task instructions without having to take the AGVs offline for reprogramming. The formal routing and task instructions, as well as any permanent or temporary changes in the routing or task instructions can be provided by an operator and/or one or more markers, such as bar codes.

Abstract: A self-driving vehicle system comprising a body having one or more motorized wheels, and a sensor head coupled to the body. The sensor head is movable from a retracted position to an extended position relative to the body. The sensor head comprises one or more proximity sensors and one or more cameras.

Abstract: Embodiments of the present disclosure relate to a self-driving system that can engage and move an inventory holder. In one embodiment, the self-driving system includes a mobile base comprising motorized wheels, an actuator disposed within the mobile base, the actuator is operable to adjust a height of the mobile base, a console having an upper portion and a main body, the main body being coupled to a first end of the mobile base in a standing configuration, and a first camera disposed on a first side of the upper portion of the console, the first camera facing a second end of the mobile base opposing the first end.

Abstract: Embodiments of the present disclosure include automated guided vehicles (AGVs) having a broadcasting system. In one embodiment, the self-driving system includes a body having one or more motorized wheels, a console coupled in an upright position to an end of the body, and a broadcasting system disposed at the console and is operable to send a notification to one or more mobile devices, wherein the broadcasting system uses a first type of positioning system and the one or more mobile devices use a second type of positioning system different from the first type of positioning system.

Abstract: This invention relates to a self-driving luggage and a method of showing its operation. A self-driving luggage comprises a plurality of electronic components, covered and protected by protecting shells. Wherein the protecting shells are at least partly made of transparent materials and at least one of the case shells is made of transparent materials such that the operation of the electronic components is capable to be observed without opening the shells of the luggage. The said electronic components include a light indicator configured to alert or indicate a testing result.

Abstract: A smart lawn mower comprises a traveling control module configured to control the traveling and steering of the mower, an image capturing module configured to capture the surrounding images of the mower, an operation module configured to provide a surrounding-determination information, and a storage module configured to store the surrounding-determination information. The operation module determines a grass area by analyzing the surrounding images captured by the image capturing module. The mower defines a grass area accurately without a predetermined boundary.