A safety device according to the present disclosure includes a sensor that is attached to a self-propellable travel device or a robot provided to the travel device, is set with a given detection area on the basis of a position of the sensor, and detects an object existing within the given detection area. The safety device further includes a motion suppressing device that suppresses motions of the travel device and the robot, when the existence of the object within the given detection area is detected by the sensor, and an area changing device that changes the given detection area according to operating states of the travel device and the robot.

A robotic cleaning system may include a robotic cleaner configured to generate a map of an environment and a mobile device configured to communicatively couple to the robotic cleaner, the robotic cleaner configured to communicate the map to the mobile device. The mobile device may include a camera configured to generate an image of the environment, the image comprising a plurality of pixels, a display configured to display the image and to receive a user input while displaying the image, the user input being associated with one or more of the plurality of pixels, a depth sensor configured to generate depth data that is associated with each pixel of the image, an orientation sensor configured to generate orientation data that is associated with each pixel of the image, and a mobile controller configured to localize the mobile device within the map using the depth data and the orientation data.

A robotic surface cleaning device is provided, including a casing, a chassis, a set of wheels coupled to the chassis to drive the robotic surface cleaning device, a control system to instruct movement of the set of wheels, a battery to provide power to the robotic surface cleaning device, one or more sensors, a processor, rotating assembly, including a plate supported by a base of the casing, rotating mechanism to rotate the plate; and one or more cleaning apparatuses mounted to a first side of the plate.

Systems and methods for updating navigational maps based using at least one sensor are provided. In one aspect, a control system for an autonomous vehicle, includes a processor and a computer-readable memory configured to cause the processor to: receive output from at least one sensor located on the autonomous vehicle indicative of a driving environment of the autonomous vehicle, retrieve a navigational map used for driving the autonomous vehicle, and detect one or more inconsistencies between the output of the at least one sensor and the navigational map. The computer-readable memory is further configured to cause the processor to: in response to detecting the one or more inconsistencies, trigger mapping of the driving environment based on the output of the at least one sensor, update the navigational map based on the mapped driving environment, and drive the autonomous vehicle using the updated navigational map.

An information processing apparatus includes: a shape information acquiring unit 204 configured to acquire shape information of a surrounding environment of a moving body measured by a sensor mounted in the moving body; a position and posture acquiring unit configured to acquire position and posture information of the sensor; a correction state acquiring unit configured to acquire a performance state relating to a process of correcting the position and posture information; a priority level determining unit configured to determine a priority level of an area for generating a map; and a map generating unit configured to generate the map on the basis of the shape information and the position and posture information acquired at the time of acquisition of the shape information, in which the map generating unit generates the map in order from an area of which the priority level is high in accordance with the performance state.

An autonomous electric mower for mowing a lawn comprises a frame, drive wheels, cutting deck, computer, a Lidar sensor, at least one color and depth sensing camera. The computer is programmed and operable to: determine the location of the mower; detect obstacles; and to instruct the mower to avoid the obstacles. Advantageously, the system is operable to analyze the data from the multiple sensors and to instruct the mower to continue to safely operate and cut the lawn despite one or more of the sensors being obstructed. Novel route planning methods are also described.

A method includes: selecting first control parameters for a perimeter intrusion detector of a mobile automation apparatus; controlling the perimeter intrusion detector according to the first control parameters, to monitor a first perimeter surrounding the mobile automation apparatus; determining that navigational data of the mobile automation apparatus defines a maneuver satisfying perimeter modification criteria; in response to determining that a likelihood of intrusion of the first perimeter associated with the maneuver exceeds a threshold, selecting second control parameters for the perimeter intrusion detector; modifying the first perimeter to a second perimeter according to the second control parameters; and controlling the perimeter intrusion detector to monitor the second perimeter.

Disclosed herein are a method of localization using multi sensors and a robot implementing the same, the method including sensing a distance between an object placed outside of a robot and the robot and generating a first LiDAR frame by a LiDAR sensor of the robot while a moving unit moves the robot, capturing an image of an object placed outside of the robot and generating a first visual frame by a camera sensor of the robot, and comparing a LiDAR frame stored in a map storage of the robot with the first LiDAR frame, comparing a visual frame registered in a frame node of a pose graph with the first visual frame, determining accuracy of comparison's results of the first LiDAR frame, and calculating a current position of the robot by a controller.

A robotic work tool system (200) for defining a working area perimeter (105). The robotic work tool system (200) comprises a robotic work tool (100) and a controller (210). The robotic work tool (100) comprises a position unit (175) and a sensor unit (170). The controller (210) is configured to receive, from the sensor unit (170), edge data indicating whether the robotic work tool (100) is located next to a physical edge (430). The controller (210) is further configured to control the robotic work tool (100) to travel along the physical edge (430) while the edge data indicating that the robotic work tool (100) is located next to the physical edge (430) and to receive, from the position unit (175), position data while the robotic work tool (100) is in motion. The controller (210) is configured to determine, based on the edge data and position data, positions representing the physical edge (430) and to define, based on the determined positions, at least a portion of the working area perimeter (105).

An anti-collision system for an aircraft and an aircraft including the anti-collision system are disclosed including a sensor data processing unit configured to process data received from multiple sensors installed on a tow tug to detect objects around the aircraft, and output information about detected objects; a safeguarding box building unit configured to generate, based on an aircraft geometry database, a three-dimensional safeguarding box for the aircraft; and a risk assessment unit configured to update the safeguarding box based on data corresponding to different operation modes of the tow tug, calculate relative distances between the detected objects and the aircraft based on the information about the detected objects that is output from the sensor data processing unit, and determine whether there is a collision risk between the aircraft and an object, among the detected objects based on the updated safeguarding box. The system is configured to output an alarm or a warning when there is the collision risk.