In one embodiment, a virtual boundary is provided in the global coordinates of the area map and is converted into a plurality of line segments corresponding to a plurality of partial maps. In one embodiment, a physical boundary indicator is used during a training/mapping run, with the location added to the area map and the physical boundary indicator later moved. In one embodiment, the virtual boundary changes over time to change cleaning areas, act as a gate, change associated cleaning mode, etc. In one embodiment, virtual areas with boundaries are selected by a user.

An autonomous vehicle, for example, an automated guided vehicle or an autonomous mobile robot, has a support structure having a general double-hull configuration, with two separate longitudinal hulls, parallel to each other and transversely spaced apart, and at least two bridge structures that connect the hulls to each other. The aforesaid bridge structures have ends connected to the two hulls by interposition of elastic joints, in such a way that the two hulls are free to perform differentiated oscillating movements so as to allow the front wheels and the rear wheels of the vehicle to remain in contact with the surface on which the vehicle is moving, even when this surface has irregularities and/or slope variations.

Disclosed is an automated guided vehicle system including at least one AGV for following predetermined magnetic paths on a ground surface to carry cargo to selected points on the paths. The AGV includes a chassis, top plate mounted on the chassis for receipt of cargo, a pair of driving wheels coupled to driving motors, and plural passive omni-wheels. Control and navigation circuitry is provided to operate the motors to drive the driving wheels to cause the AGV to follow a desired one of the paths. The AGV provides illumination indicating its direction of travel and status. It also includes laser scanners for obstacle detection.

A method for determining if a user's gaze is directed in the direction of a zone of interest in a 3D scene comprises: providing a 3D scene containing a zone of interest; associating a property with the zone of interest; creating a bitmap representing the location of the zone of interest in a projected view of the 3D scene, each pixel of the bitmap to which the zone of interest is projected storing the property of the zone of interest; detecting the direction of the user's gaze; using the bitmap to determine if the detected user's gaze is directed in the direction of the zone of interest.

According to the present disclosure, when a mobile robot travels, if the learning information of the avoiding mark which is machine-trained by the mobile robot corresponds to a mark around the target object sensed by the mobile robot, the mobile robot can avoid the sensed avoiding mark. That is, the mobile robot may collide with an object which needs to be avoided while traveling. Therefore, when an avoiding mark which is formed of at least any one of a different color or a different material from the floor of the driving area is disposed around an object to be avoided or an area to be avoided and the avoiding mark is sensed, the mobile robot autonomously avoids the object or the area to be avoided to be prevented from colliding with the object which needs to be avoided or traveling in the area to be avoided.

The guidepath includes: a magnet guide tape which carries S pole, and guides a carrier vehicle in a first direction by the S pole by being arranged on a floor so as to extend in the first direction; a magnet guide tape which carries S pole, and guides the carrier vehicle in a second direction by the S pole by being arranged on the floor so as to extend in a second direction which intersects the first direction; and a magnetic body tape which is arranged at a side of the magnet guide tape at a position above which a marker sensor passes upon the carrier vehicle being guided by the magnet guide tape, and suppresses N pole.

A vehicle may include a frame structure, a body mounted to the frame structure, and a vehicle navigation system. The vehicle navigation system may include a navigation sensor mounted to the frame structure, and a processor in communication with the navigation sensor. The navigation sensor may be configured to detect reference elements disposed in or on a road on which the vehicle travels. The processor may be configured to receive, from the navigation sensor, signals indicative of a sequence or pattern of detected reference elements. The processor may also be configured to determine, using the received signals, at least one of a position, velocity, or orientation of the vehicle on the road.

A cleaning robot may include a main body, a driver configured to move the main body, a cleaner configured to clean a cleaning space, and a controller configured to set at least one area among a plurality of areas included in the cleaning space as a cleaning area while the main body moves, and clean the cleaning area when the cleaning area is set.

A robot configured to navigate a surface, the robot comprising a movement mechanism; a logical map representing data about the surface and associating locations with one or more properties observed during navigation; an initialization module configured to establish an initial pose comprising an initial location and an initial orientation; a region covering module configured to cause the robot to move so as to cover a region; an edge-following module configured to cause the robot to follow unfollowed edges; a control module configured to invoke region covering on a first region defined at least in part based at least part of the initial pose, to invoke region covering on least one additional region, to invoke edge-following, and to invoke region covering cause the mapping module to mark followed edges as followed, and cause a third region covering on regions discovered during edge-following.

A method for determining if a user's gaze is directed in the direction of a zone of interest in a 3D scene comprises: providing a 3D scene containing a zone of interest; associating a property with the zone of interest; creating a bitmap representing the location of the zone of interest in a projected view of the 3D scene, each pixel of the bitmap to which the zone of interest is projected storing the property of the zone of interest; detecting the direction of the user's gaze; using the bitmap to determine if the detected user's gaze is directed in the direction of the zone of interest.