Abstract: A movable container includes: a driving mechanism, a sensing device, and a control circuit. The driving mechanism is arranged to provide a momentum to the movable container. The sensing device is arranged to sense a motion feature in accordance with the momentum provided by the driving mechanism. The control circuit is coupled to the sensing device and the driving mechanism and arranged to calculate a calculated mass of the movable container in accordance with the motion feature sensed by the sensing device. The control circuit is coordinated with the driving mechanism and the sensing device via a user input. In some embodiments, the movable container is a suitcase or a luggage.

Abstract: Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.

Abstract: A movable container includes an outer shell, a handle tube and a case. A surface of the outer shell includes a first part and a second part, and a height deviation locates between the first part of the surface and the second part of the surface toward a normal direction of the surface. The handle tube is located between the first part of the surface and the second part of the surface, and a part of a handle of the movable container is embedded in the handle tube. The case covers the handle tube and attaches to the surface via an attachment mechanism.

Abstract: Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.

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: A smart luggage system includes a piece of luggage configured to store items for transport and a handle coupled to the luggage. The handle includes a pull rod coupled to a connecting rod. One or more cameras are disposed in a top portion of the pull rod and configured to take a photograph and/or video. One or more cameras are coupled to the luggage and/or the handle and configured to take a photograph and/or video.

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 brushless direct-current (BLDC) motor has a connector, a stator, a rotor and a positioning module. The connector has three input ends for receiving three voltage signals, and a feedback end for receiving a feedback signal. The three voltage signals are transmitted to three windings of the stator. Rotation of the rotor is induced by interaction of magnetic fields of the three windings and a plurality of magnets of the rotor. The positioning module is fixed to the stator and has three Hall sensors for sensing positions of the magnets. The positioning module generates the feedback signal according to the positions of the plurality of magnets sensed by the three Hall sensors. The first voltage signal, the second voltage signal and the third voltage signal are adjusted according to the feedback signal.

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 steerable camera for target-tracking. In one embodiment, the AGV includes a body having one or more motorized wheels, the body having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the body, and a first camera coupled to the console, the first camera providing one or more axes of rotation and is operable to follow an object.

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: A smart luggage system includes a piece of luggage configured to store items for transport and a handle coupled to the luggage. The handle includes a pull rod coupled to a connecting rod. One or more cameras are disposed in a top portion of the pull rod and configured to take a photograph and/or video. One or more cameras are coupled to the luggage and/or the handle and configured to take a photograph and/or video.

Abstract: Aspects of the present disclosure relate to self-driving luggage systems, devices, and components thereof, having multiple following modes. In one implementation, a self-driving system includes a piece of luggage. The piece of luggage includes one or more motorized wheels and an onboard ultra-wideband device. The onboard ultra-wideband device includes a control unit and one or more transceivers. The piece of luggage also includes one or more laser emitters configured to shoot light towards a target. The piece of luggage also includes one or more proximity cameras configured to take one or more images of the target, and the one or more images include light reflected off of the target. Each of the one or more proximity cameras includes an optical filter. The self-driving system also includes a central processing unit. The central processing unit is configured to switch between a vision following mode and a radio following mode.

Abstract: A movable container includes an outer shell, a handle tube and a case. A surface of the outer shell includes a first part and a second part, and a height deviation locates between the first part of the surface and the second part of the surface toward a normal direction of the surface. The handle tube is located between the first part of the surface and the second part of the surface, and a part of a handle of the movable container is embedded in the handle tube. The case covers the handle tube and attaches to the surface via an attachment mechanism.