G05D1/0242

Non-solid object monitoring
11693414 · 2023-07-04 · ·

An autonomous navigation system may navigate through an environment in which one or more non-solid objects, including gaseous and/or liquid objects, are located. Non-solid objects may be determined, using sensor data, to present an obstacle or interference based on determined chemical composition, size, position, velocity, concentration, etc. of the objects.

Vehicle guidance via infrared projection

A system for guiding a vehicle is provided. The system includes multiple paths on a surface, wherein each path is defined by light projection characteristics of a respective light projection defining a respective path. The system also includes the vehicle. The vehicle includes a sensor configured to detect the light projection characteristic of the respective path of the multiple paths, and a controller guide the vehicle along the respective path with a light projection characteristic that matches an expected light projection characteristic that is assigned to the vehicle.

Implement Attachment Apparatus, Power Take-Off With Safety System and Method Thereof

A ground utility robot and implement attachment apparatus having a ground utility robot, at least one implement, at least one solar panel, at least one battery that is chargeable by the at least one solar panel, a power take-off system that is connected to the ground utility robot and to the at least one implement; where the battery powers said ground utility robot and the implement; a safety system that has a computer, a safety program that utilizes a processing logic on the computer, where the safety program initiates precautionary measures that are carried out by the ground utility robot and the power take-off system if an object comes within a predefined distance from the ground utility robot and implement attachment apparatus.

Mobile robot and method for operating the same

Disclosed is a mobile robot. The mobile robot may include a body and a controller. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may perform communication with other electronic devices in a 5G communication environment. Accordingly, user convenience can be significantly improved.

Time of flight sensor arrangement for robot navigation and methods of localization using same

In general, the present disclosure is directed to a time of flight (ToF) sensor arrangement that may be utilized by a robot (e.g., a robot vacuum) to identify and detect objects in a surrounding environment for mapping and localization purposes. In an embodiment, a robot is disclosed that includes a plurality of ToF sensors disposed about a housing of the robot. Two or more ToF sensors may be angled/aligned to establish overlapping field of views to form redundant detection regions around the robot. Objects that appear therein may then be detected by the robot and utilized to positively identify, e.g., with a high degree of confidence, the presence of the object. The identified objects may then be utilized as data points by the robot to build/update a map. The identified objects may also be utilized during pose routines that allow the robot to orient itself within the map.

LINE LASER MODULE AND AUTONOMOUS MOBILE DEVICE
20220390947 · 2022-12-08 ·

A line laser module, including: a module body; a first image capturing assembly, provided at the module body and comprising a first camera, at least one laser emitter and a first image processing module, wherein the at least one laser emitter is provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body, the first camera is configured to capture a first environment image containing the line laser, and the first image processing module is configured to acquire obstacle distance information based on the first environment image; and a second image capturing assembly, comprising a second camera and a second image processing module, wherein the second camera is configured to capture a second environment image, and the second image processing module is configured to acquire obstacle type information based on the second environment image.

Virtual wall device and robot and control method thereof
11513528 · 2022-11-29 ·

A method for docking a robot at a charging station includes the following steps: the charging station outputs a first transmitting signal and a second transmitting signal, wherein an overlapping zone and two non-overlapping zones are formed within the signal transmission range of the first and second transmitting signals, and a blank zone forms within a predetermined distance. When the robot needs to move to the charging station, the robot detects its entry into the overlapping zone or one of the two non-overlapping zones, and the robot moves in the direction of the charging station by alternately moving in and out between the overlapping zone and one of the two non-overlapping zones until the robot moves to the blank zone, then the robot either moves directly towards the charging station, or rotates and then moves backwardly towards the charging station, thereby allowing the robot to dock at the charging station.

Wheeled base

A wheeled base includes a housing, two driven wheeled mechanisms positioned on a bottom of the housing and on opposite sides of the housing, at least one passive wheel positioned on the bottom of the housing, actuated feet positioned on the bottom of the housing and configured to move up and down, sensors, and a battery pack arranged within the housing. The two driven wheeled mechanisms each includes a damping mechanism, and each damping mechanism includes at least two dampers configured to absorb impact caused by an upward movement of the housing, and absorb impact caused by a downward movement of the housing.

System for Locating Charging Base of Self-Moving Robot and Method for Locating Charging Base of Self-Moving Robot
20220374022 · 2022-11-24 ·

The disclosure relates to a system for locating a charging base of a self-moving robot and method for locating a charging base of a self-moving robot. A position of the charging base can estimated according to a charging base locating area constructed when the self-moving robot receives infrared signals of the charging base, meanwhile, the position of the charging base which is estimated can be continuously adjusted according to a relationship between the charging base locating area and infrared signal receivers when the infrared signals are received in the subsequent motion process of the self-moving robot.

Method and device for optical distance measurement

A method for optical distance measurement is proposed which comprises the emission of a plurality of measurement pulses, the reflection of emitted measurement pulses at at least one object and the receipt of reflected measurement pulses. A sequence of measurement pulses is emitted, wherein the sequence comprises temporal pulse spacings between temporally successive measurement pulses, and wherein each measurement pulse of the sequence has a temporal pulse width of T(Pulse). The pulse spacings form a first set, wherein the first set is defined by {T(delay)+i*T(Pulse): i is an element of the natural numbers between 0 and j}, wherein for all values of i it holds that: T(delay)+i*T(Pulse)<(2T(delay)+2T(Pulse)), wherein the first set only comprises one element for all values of i between 0 and j, respectively, and wherein T(delay) defines a pulse spacing base unit.