A logistics system provides a logistics service utilizing a logistics robot that delivers packages by autonomous traveling. The logistics system includes one or more processors. When delivery destinations of the packages are dispersedly located on a plurality of floors of a building, the one or more processors execute a priority determination process that determines priority among the plurality of floors. Then, the one or more processors execute a logistics robot control process that controls the logistics robot so as to deliver the packages to the plurality of floors in an order of the priority.

The present invention relates to a method for positioning on the basis of vision information and a robot implementing the method. The method for positioning on the basis of vision information, according to an embodiment of the present invention, comprises the steps of: generating, by a control unit of a robot, first vision information by using image information of an object sensed by controlling a vision sensing unit of a sensor module of the robot; generating, by the control unit of the robot, a vision-based candidate position by matching the first vision information with second vision information stored in a vision information storage unit of a map storage unit; and generating, by the control unit, the vision-based candidate position as the position information of the robot when there is one vision-based candidate position.

Lighting control systems may be commissioned for programming and/or control with the aid of a mobile device. Design software may be used to create a floor plan of how the lighting control system may be designed. The design software may generate floor plan identifiers for each lighting fixture, or group of lighting fixtures. During commissioning of the lighting control system, the mobile device may be used to help identify the lighting devices that have been installed in the physical space. The mobile device may receive a communication from each lighting control device that indicates a unique identifier of the lighting control device. The unique identifier may be communicated by visible light communication (VLC) or RF communication. The unique identifier may be associated with the floor plan identifier for communication of digital messages to lighting fixtures installed in the locations indicated in the floor plan identifier.

Mobile vending machines for storing and dispensing products to consumers at various locations. A mobile vending machine may include a product storage system, a user interface, a powertrain system, and a control unit. A consumer may view a list of products in the mobile vending machine using a mobile device, such as a smart phone. The consumer may summon the mobile vending machine to a location using the mobile device, and the mobile vending machine may automatically complete a transaction with the consumer, where the consumer receives a product from the mobile vending machine. The control unit may enable the mobile vending machine to autonomously travel to the location of the consumer.

An autonomously motile device may be controlled by speech received by a user device. A first speech-processing system associated with the user device may determine that audio data includes a representation of a command; a second speech-processing system associated with the autonomously motile device may determine that the command should be executed by the autonomously motile device. A network connection is established between the user device and the autonomously motile device, and a device manager authorizes execution of the command.

Described herein is a system for improving sentiment detection and/or recognition using multiple inputs. For example, an autonomously motile device is configured to generate audio data and/or image data and perform sentiment detection processing. The device may process the audio data and the image data using a multimodal temporal attention model to generate sentiment data that estimates a sentiment score and/or a sentiment category. In some examples, the device may also process language data (e.g., lexical information) using the multimodal temporal attention model. The device can adjust its operations based on the sentiment data. For example, the device may improve an interaction with the user by estimating the user's current emotional state, or can change a position of the device and/or sensor(s) of the device relative to the user to improve an accuracy of the sentiment data.

A restaurant service robot moves to a target table along a movement path in a state in which a plurality of trays, on which food can be placed, are arranged to be vertically spaced a predetermined distance apart from each other to form a multi-layer structure and food is accommodated on the trays, so as to induce, through a voice or a display, a customer to take the food. The restaurant service robot comprises a communication function unit, an image receiving unit, a path search unit, one or more tray seating units, an information display unit, and an external input unit.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

A method for navigating a sensor-equipped mobile platform through an through an environment to a destination, the method including: capturing a first image in a first state of illumination; capturing a second image in a second state of illumination; generating a difference image from said first image and said second image; locating an imaging target based on said difference image, said imaging target including a machine-readable code embedded therein, said machine-readable code including navigation vector data; extracting said navigation vector data from said machine-readable code; and using said extracted navigation vector data to direct the navigation of the mobile platform through the environment to a destination.

A cart that follows a transmission module based on position information of the transmission module and a method for moving the cart are provided. According to an embodiment of the present disclosure, the cart accumulatively stores the position information of the transmission module and generates a moving path based on the position information of the transmission module and moves.