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.

Provided is a method for controlling a robot cleaner including a first operation of identifying that a manual cleaner and the robot cleaner are turned on, a second operation of identifying, by the robot cleaner, a location of the manual cleaner, a third operation of separating cleaning regions for performing cleaning therein from each other, and a fourth operation of starting, by the robot cleaner, cleaning of a corresponding region after the manual cleaner completes cleaning of the corresponding region.

An automatic wall climbing type radar photoelectric robot system for damages of a bridge and tunnel structure, mainly including a control terminal, a wall climbing robot and a server. The wall climbing robot generates a reverse thrust by rotor systems, moves flexibly against the surface of a rough bridge and tunnel structure by adopting an omnidirectional wheel technology, and during inspection by the wall climbing robot, bridges and tunnels do not need to be closed, and the traffic is not affected. Bridges and tunnels can divide into different working regions only by arranging a plurality of UWB base stations, charging and data receiving devices on the bridge and tunnel structure by means of UWB localization, laser SLAM and IMU navigation technologies, a plurality of wall climbing robots supported to work at the same time, automatic path planning and automatic obstacle avoidance realized, and unattended regular automatic patrolling can be realized.

A mobile cleaning robot that includes a drive system configured to navigate around an operational environment, a ranging device configured to communicate with other ranging devices of respective electronic devices that are in the operational environment, and processors in communication with the ranging device that are configured to receive a distance measurement from the respective electronic devices present in the operational environment, each distance measurement representing a distance between the mobile cleaning robot and a respective electronic device, tag each of the distance measurements with location data indicative of a spatial location of the mobile cleaning robot in the operational environment, determine spatial locations of each of the electronic devices in the operational environment, and populate a visual representation of the operating environment with visual indications of the electronic devices in the operating environment.

A vehicle communication, power, and guidance system for use in guiding and communicating with a land vehicle along a roadway, the system comprising: one or more reference devices positioned along the roadway, each of the reference devices further comprising: a memory device for storing fixed values for one or more vehicle and traffic related parameters; and one or more transmission modules for transmitting said fixed values for one or more vehicle and traffic related parameters; a vehicle mounted device comprising: a receiving module for receiving transmitted signals from the transmission module of said reference devices; and a processing module for processing the received signals and a transmitter module to transmitting signals to the reference device to communicate with one or more controllers of the vehicle to guide and control movement of the vehicle along the roadway.

In one embodiment, a method includes determining an operational status of a vehicle including a radar antenna. The operational status is related to autonomous-driving operations of the vehicle in an environment. The method includes determining an expected amount of signaling resources associated with the radar antenna to be utilized by the vehicle while the vehicle performs the autonomous-driving operations, based at least on the operational status of the vehicle and the environment. The method includes determining to switch one or more of the signaling resources associated with the radar antenna from a first mode to a second mode based on the expected amount of signaling resources to be utilized by the radar antenna while the vehicle performs the autonomous-driving operations. The method includes causing the one or more of the signaling resources associated with the radar antenna to switch from the first mode to the second mode.

A guide-type virtual wall system is provided. The system comprises a beacon (11, 44) and a robot (12), wherein a transmission module of the beacon (11, 44) directionally transmits a first signal, and an area covered by the first signal defines a beacon signal area (13). The robot (12) comprises a beacon signal receiving module corresponding to the beacon signal transmission module. When the robot (12) enters the beacon signal area (13) and the beacon signal receiving module detects the first signal, the robot (12) advances towards the direction of the beacon (11, 44) until it detects a second signal, and then the robot (12) crosses over or exits from the beacon signal area (13). The system can restrict the robot (12) from entering a certain area, wherein the area where a virtual wall is located is not missed, and the robot (12) is also enabled to cross over the virtual wall to enter the restricted area when required.

Presently disclosed is a system, apparatus, and method for navigating and orienting roadway vehicles by use of a network of embedded navigation beacons within a roadway. A plurality of primary navigation beacons are embedded into a roadway surface with sensors, and communicate with a car and a smaller subset of secondary beacons with connection to the internet. Further disclosed is a landing pad for a drone delivery system, the landing pad acting as a navigational beacon and safe landing location indicator for the aerial drone.

A method and system for determining position and/or pose of an object. A robotic device moves throughout an environment and includes a master transceiver tag and, optionally, additional tags. The environment includes a plurality of anchor nodes that are configured to form a network. A master anchor node is in communication with at least a portion of the plurality of anchor nodes and is configured to transmit a ranging message as a UWB signal, receive a ranging message response from each other anchor node in the network, generate a reference grid representing physical locations of the plurality of anchor nodes within the network based upon the received ranging message responses, and distribute the reference grid to each of the other anchor nodes. The master transceiver tag receives the reference grid information and, based upon further calculations, determines a specific position and pose of the robotic device within the environment.

System for finding at least one mobile trolley in a locale, the system including at least one communication beacon which has a range covering the locale and which is connected to a computer control unit, and at least one electronic module mounted on the trolley and including a transmission device arranged to transmit position data to the communication beacon, and an inertial motion detection hub that includes a device for detecting linear motion along axes of a detection reference system and a device for detecting angular motion about the axes of the detection reference system and that is arranged to provide position data on the basis of linear motion measurement data and angular motion measurement data, the module being mounted on an element of the trolley such that any movement of the trolley within the locale causes angular movement of the element, the system being arranged to detect when the trolley is stopped when the angular motion measurement data correspond to zero angular motion at one measurement instant and being arranged to set to zero speeds calculated on the basis of the linear motion measurement data corresponding to the same measurement instant.