A system providing a barrier for an autonomous floor cleaner includes an artificial barrier generator that radiates one or more infrared emission patterns. An autonomous floor cleaner can be configured to detect an overlapping emission pattern made of partially overlapping encoded infrared emissions. Methods for containing an autonomous floor cleaner within a user-determined boundary are disclosed.

An automatic travel system includes a prohibition boundary line setter to set a prohibition boundary line beyond which the vehicle is prohibited from entering, a turning circle setter to set a virtual turning circle as a target route for entry turning travel to enter a subsequent travel route, a transition turning travel controller to control tangent following travel using a vehicle body reference point that is calculated during travel to the virtual turning circle as a target orientation, and the entry turning travel using the virtual turning circle as a turning target route, an interference boundary line detector to detect the prohibition boundary line that is present in a moving direction of the vehicle in the tangent following travel, as an interference boundary line, and an interference avoidance travel controller to control travel for avoiding interference with the interference boundary line.

A robot is provided. The robot includes a camera, a driving unit, and a processor. The robot is configured to, if a plurality of users included in one group are identified in an image captured via the camera, acquire profile information of each of the plurality of users, based on the profile information, acquire group feature information including group type information of the group, priority information of the plurality of users, and preferred waypoint information of the one group, and control the driving unit to perform a route guidance function based on the group feature information and destination information.

A robot includes: at least one sensor configured to detect an external environment within a viewing zone of the at least one sensor; at least one memory storing information on a travel space including a privacy protection zone; and at least one processor configured to: identify whether the viewing zone of the at least one sensor will be within a predetermined distance from the privacy protection zone while the robot travels along a travel path in the travel space, based on identifying that the viewing zone of the at least one sensor will be within the predetermined distance, determine whether the viewing zone of the at least one sensor will overlap with the privacy protection zone based on the travel path, and based on determining that the viewing zone of the at least one sensor will overlap with the privacy protection zone, change a heading direction of the robot from a first heading direction to a second heading direction to prevent the viewing zone of the at least one sensor from overlapping with the privacy protection zone.

A detection process unit detects an error of at least any of a plurality of work vehicles. A report process unit causes, when an error of a work vehicle among the plurality of work vehicles is detected, specific information on the work vehicle to be reported at an operation terminal communicable with each of the plurality of work vehicles.

A method for instructing operation of a robotic floor-cleaning device based on the position of the robotic floor-cleaning device within a two-dimensional map of the workspace. A two-dimensional map of a workspace is generated using inputs from sensors positioned on a robotic floor-cleaning device to represent the multi-dimensional workspace of the robotic floor-cleaning device. The two-dimensional map is provided to a user on a user interface. A user may adjust the boundaries of the two-dimensional map through the user interface and select settings for map areas to control device operation in various areas of the workspace.

A method for guiding an autonomous aircraft, the aircraft includes an automatic pilot, a plurality of sensors and an imaging unit, the aircraft being configured to fly over a geographic zone comprising overflight prohibited zones, the guidance method can advantageously comprise a phase of real flight of the autonomous aircraft by using a given guidance law, comprising the following steps: determining a current state of the autonomous aircraft; determining an optimum action to be executed by using a neural network receiving the current state; determining a plurality of control instructions compatible with the guidance law based on the optimum action to be executed; transmitting to the automatic pilot the plurality of control instructions, which provides a new state of the autonomous aircraft.

An AI based system and method for managing heterogeneous network-agnostic swarm of robots is disclosed. The method includes receiving a set of commands from a human machine interface associated with one or more electronic devices, determining one or more robotic capabilities associated with autonomous robot and capturing one or more positional parameters by using one or more sensors. The method includes broadcasting the one or more robotic capabilities and the one or more positional parameters to each of the one or more autonomous robots and determining one or more situational parameters associated with the one or more autonomous robots. Furthermore, the method includes detecting one or more targets and allocating the one or more tasks and the detected one or more targets among the one or more autonomous robots.

Embodiments of the present disclosure relate to a method, device, apparatus and computer readable medium for avoiding entering no-entry areas. According to embodiments of the present disclosure, a first device transmits a request to a second device for querying type information regarding a set of areas. The set of areas are adjacent to an area which the first device currently locates. The second device transmits the type information to the first device. The first device determines whether to transmit its real-time position information based on the type information. In this way, it can reduce workload and save power.

Techniques for autonomous vehicle boundary intersection detection and avoidance are described. In an example, a geofence boundary is received at a display coupled to a control module of a vehicle. A 2D footprint is generated using a definition of the vehicle and an implement coupled to the vehicle. Using geographic coordinates for the vehicle, a current position and orientation for the footprint are determined. A 2D projection footprint is generated for the vehicle using the current position and orientation, a current steering state, and a direction of travel. A first distance from the current position and orientation at which the projection footprint intersects with the boundary is determined. Based on the first distance, the speed of the vehicle is maintained at or below a maximum speed.