Method for tracking and exploiting at least one environmental parameter such as cleanness in an urban setting; method comprising the following successive steps: Planning measurements of at least one environmental parameter; Tracking in real-time said parameter by means of a camera located on-board a vehicle or fastened to a static holder; Geo-positioning the parameter; Classifying the parameter depending on the characteristics thereof, such as category, danger or typology; Improving the environmental parameter based on the data obtained in the 2 preceding steps. The invention also relates to a device using said method.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

Disclosed are a robot cleaner and a maintenance device for the same. The robot cleaner includes a body, a traveling module for moving the body, a bottom portion disposed in front of the traveling module for sliding along a floor when the body is moved, and a collection portion disposed in front of the bottom portion, the collection portion having therein a space for collecting foreign matter on the floor. The maintenance device includes a suction port configured to be inserted into the collection portion and a suction channel for guiding the movement of the air suctioned through the suction port.

According to one aspect, a method is provided to determine whether an autonomous system is ready to be deployed or is otherwise ready for use, scene-based metrics, or metrics based on instances of scenarios. Scene-based metrics are mapped, or otherwise translated, to distance-based metrics such that substantially standard distance-based metrics may be used to gate the readiness of an autonomy system for deployment.

Included is a surface cleaning service system including: one or more robotic surface cleaning devices, each including: a chassis; a set of wheels; one or more motors to drive the wheels; one or more processors; one or more sensors; and a network interface card, wherein the one or more processors of each of the one or more robotic surface cleaning devices determine respective usage data. A control system or the one or more processors of each of the one or more robotic surface cleaning devices is configured to associate each usage data with a particular corresponding robotic surface cleaning device of the one or more robotic surface cleaning devices.

Included is a surface cleaning service system including: one or more robotic surface cleaning devices, each including: a chassis; a set of wheels; one or more motors to drive the wheels; one or more processors; one or more sensors; and a network interface card, wherein the one or more processors of each of the one or more robotic surface cleaning devices determine respective usage data. A control system or the one or more processors of each of the one or more robotic surface cleaning devices is configured to associate each usage data with a particular corresponding robotic surface cleaning device of the one or more robotic surface cleaning devices.

A terminal apparatus includes a camera, a display that displays a display screen including a mobile robot that autonomously travels, and a control circuit. The control circuit acquires a first planned route of the mobile robot, displays, on the display, a screen having the first planned route superimposed on a camera image taken by the camera, detects a contact point on the display on which the screen is displayed, generates a second planned route of the mobile robot that travels through the contact point, and transmits the second planned route to the mobile robot.

In accordance with one embodiment of the present disclosure, method includes obtaining multi-level environment data corresponding to a plurality of driving environment levels, encoding the multi-level environment data at each level, extracting features from the multi-level environment data at each encoded level, fusing the extracted features from each encoded level with a spatial-temporal attention framework to generate a fused information embedding, and decoding the fused information embedding to predict driving environment information at one or more driving environment levels.

A method of controlling a moving robot is provided. The method of controlling a moving robot includes the steps of: (a) performing a basic motion of the moving robot which moves on a rotating mop; (b) measuring the slip rate of the moving robot; and (c) controlling the travel of the moving robot.