A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

A method includes constructing a map of an environment based on mapping data produced by an autonomous cleaning robot in the environment during a first cleaning mission. Constructing the map includes providing a label associated with a portion of the mapping data. The method includes causing a remote computing device to present a visual representation of the environment based on the map, and a visual indicator of the label. The method includes causing the autonomous cleaning robot to initiate a behavior associated with the label during a second cleaning mission.

According to one aspect, a method includes detecting, through a detection interface of a vehicle, an installation of a first compartment insert in a first compartment of the vehicle, wherein detecting the installation includes determining when the detection interface is in contact with a second interface of the first compartment insert. After detecting the installation of the first compartment insert, it is determined whether the first compartment insert is capable of transmitting information to the vehicle. The method also includes obtaining the information from the first compartment insert when it is determined that the first compartment insert is capable of transmitting the information to the vehicle, and identifying a type associated with the first compartment insert from the information.

Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, receiving data representing a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

An autonomous floor cleaner includes multiple occupiable space sensors for position and/or proximity sensing. Data from the occupiable space sensors can be used determine areas of occupiable space in proximity to the autonomous floor cleaner. Methods for exiting a trapped condition, obstacle avoidance, and path planning are disclosed.

A delivery robot can include an image sensor; a drive par; and a controller configured to detect a revolving door from an image in front of the delivery robot, detect a feature of at least one door blade of a revolving door from the image, generate an entry path including an initial location of the delivery robot and an entry time point for entering into the revolving door, and generate a departure path including a departure time point and a departure point for exiting from the revolving door, and control the drive part to move the delivery robot along the entry path and the departure path to pass through the revolving door.

A delivery robot can include an image sensor; a drive par; and a controller configured to detect a revolving door from an image in front of the delivery robot, detect a feature of at least one door blade of a revolving door from the image, generate an entry path including an initial location of the delivery robot and an entry time point for entering into the revolving door, and generate a departure path including a departure time point and a departure point for exiting from the revolving door, and control the drive part to move the delivery robot along the entry path and the departure path to pass through the revolving door.

A passenger transportation system includes: an abnormality determination unit configured to determine whether or not a passenger feeling unwell is present in a vehicle; a transportation planning unit configured to determine, when it is determined that the passenger feeling unwell is present, a medical facility to which the passenger feeling unwell is transported and a via-point where normal passengers are dropped off; and a vehicle control unit configured to control the vehicle to travel so as to transport the passenger feeling unwell to the medical facility via the via-point.

A positioning processing unit measures the position of a work vehicle by a predetermined positioning method on the basis of a GNSS signal received from a satellite. A travel processing unit causes the work vehicle to travel automatically on the basis of position information of the work vehicle. A switching processing unit can switch between an RTK method and a DGPS method. A setting processing unit sets the work mode of the work vehicle to either a work accuracy preferential mode or a work continuity preferential mode. The switching processing unit switches between the RTK method and the DGPS method on the basis of the work mode and the positioning state.

A positioning processing unit measures the position of a work vehicle by a predetermined positioning method on the basis of a GNSS signal received from a satellite. A travel processing unit causes the work vehicle to travel automatically on the basis of position information of the work vehicle. A switching processing unit can switch between an RTK method and a DGPS method. A setting processing unit sets the work mode of the work vehicle to either a work accuracy preferential mode or a work continuity preferential mode. The switching processing unit switches between the RTK method and the DGPS method on the basis of the work mode and the positioning state.