A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

A robot cleaner includes a rolling cleaning module including a rolling member configured to rotate clockwise or counterclockwise when viewed from a left side while in contact with a floor, a sensor unit, and a controller. The controller is configured to determine a change in position of the robot cleaner and a change in load current of a motor connected to the rolling member based on data detected by the sensor unit, and determine that a specific area of the floor is a contaminated area when there is a change in the position and a change in the load current.

Disclosed are a mover robot system and a controlling method for the same, in which a manipulation of a control screen where a remote control is performed is restricted if a mover robot is located in an area other than a driving area, and a locked screen requesting an input of a preset use code is displayed on a terminal, whereby a display of the locked screen is maintained or released in accordance with the input code.

The present disclosure relates generally to autonomous machines (AMs) and more particularly to techniques for intelligently planning, managing and performing various tasks using AMs. A control system (referred to as a fleet management system or FMS) is disclosed for managing a set of resources at a site, which may include AMs. The FMS is configured to control and manage the AMs at the site such that tasks are performed autonomously by the AMs. An AM may directly communicate with another AM located on the site to complete a task without requiring to be in constant communication with the FMS during the performance of the task. The FMS is configured to use various optimization techniques to allocate resources (e.g., AMs) for performing tasks at the site. The resource allocation is performed so as to maximize the use of available AMs while ensuring that the tasks get performed in a timely manner.

A path providing device configured to provide a path information to a vehicle includes a communication unit configured to receive, from a server, map information including a plurality of layers of data, an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, and a processor. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information based on the sensing information and the determined optimal path, update the optimal path based on dynamic information related to a movable object located on the optimal path and the autonomous driving visibility information, receive different types of sensor data from a plurality of sensors, and update at least one of the autonomous driving visibility information or the optimal path based on information generated by combining at least two types of sensor data.

A method of area coverage planning with replenishment planning includes receiving information of a boundary of the work area, location information of one or more refill stations, and information of a current amount of the material left in the autonomous vehicle, laying a plurality of tracks within the boundary of the work area so as to minimize a total distance of the plurality of tracks, generating a coverage trajectory, and based on (i) the coverage trajectory, (ii) the location information of the one or more refill stations, (iii) the current amount of the material left in the autonomous vehicle, and (iv) a nominal full amount and a nominal consumption rate of the material by the autonomous vehicle, determining one or more logistic points along the coverage trajectory at which a remaining amount of the material reaches a threshold, for each logistic point, generating a replenishment trajectory.

Examples disclosed herein may involve a computing system that is configured to (i) obtain previously-derived perception data for a collection of sensor data including a sequence of frames observed by a vehicle within one or more scenes, where the previously-derived perception data includes a respective set of object-level information for each of a plurality of objects detected within the sequence of frames, (ii) derive supplemental object-level information for at least one object detected within the sequence of frames that adds to the previously-derived object-level information for the at least one object, (iii) augment the previously-derived perception data to include the supplemental object-level information for the at least one object, and (iv) store the augmented perception data in an arrangement that encodes a hierarchical relationship between the plurality of objects, the sequence of frames, and the one or more scenes.

A cleaner is disclosed. The cleaner includes a first cleaning module including a left spin mop and a right spin mop provided so as to come into contact with a floor while rotating in a clockwise direction or in a counterclockwise direction when viewed from an upper side, a second cleaning module configured so as to come into contact with the floor at a position spaced apart from the left spin mop and the right spin mop in a forward-and-backward direction, a body supported by the first cleaning module and the second cleaning module, and a water supply module configured to supply water to the first cleaning module and including a water tank disposed inside the body. Water supplied by the water supply module reaches the first cleaning module before reaching the floor.

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.