An apparatus and method for processing an image are disclosed. The method includes preprocessing an image, recognizing an object in the preprocessed image, determining whether to use a recognition result of the object based on a quality of the recognition result, selecting, in response to a determination that the recognition result is not to be used, one of a first process for postprocessing the preprocessed image and a second process for predicting the object based on a set operation mode, and operating according to the selected process.

Embodiments of the invention pertain to a method of controlling a remotely operated vehicle operated from a remote operation station via a communication link, the method comprising: monitoring a latency (L) of the communication link, requesting (S2) an emergency stop maneuver in response to the latency exceeding a predetermined threshold (T), and cancelling (S3) the requested emergency stop maneuver, in response to the communication link being recovered within a brake reaction time (A). Embodiments of the invention also relate to a remotely operated vehicle having a control unit configured to: monitor a latency (L) of a communication link between the vehicle and a remote operation station, request an emergency stop maneuver in response to the latency exceeding a predetermined threshold (T), and cancel the requested emergency stop maneuver, in response to the communication link being recovered within a brake reaction time period (A).

A robot capable of causing the robot to perform a plurality of different operations with a laser light is provided. The robot includes a controller, n operating units corresponding to n functions, and a laser detector. n is an integer equal to or higher than two. The laser detector detects a radiated laser light and an irradiated location where the radiated laser light is irradiated. The controller performs a control that causes different operating units to operate in accordance with the irradiated location detected by the laser detector.

An autonomous work system controls an autonomous work machine that detects a magnetic field of an area signal generated by energization to an area wire disposed on an outer periphery of a work area, specifies a boundary of the work area based on the magnetic field, and works autonomously in the work area. The autonomous work system comprises: a storage unit configured to store position information of a plurality of the work areas; a setting unit configured to set, based on the position information, different energization modes; and an energization unit configured to energize, based on the energization modes, the area wires disposed on the respective outer peripheries of the plurality of adjacent work areas.

An autonomous mobile device (AMD) may move around while performing tasks. If the AMD is lifted, the AMD responds to ensure safety of the user, modify ongoing operation, and so forth. For example, the AMD may stop the wheels, retract a mast, or suspend navigation tasks. To accurately determine whether or not the AMD has been lifted, the AMD uses one or more sensors to determine a vertical lift distance and rotation of the AMD with respect to one or more axes. For example, while the AMD is stationary, the sensors used may include an accelerometer or a gyrometer. While the AMD is moving, data from time-of-flight sensors or one or more cameras may also be used. If the AMD is stationary low-level sensor thresholds are used. If the AMD is moving steadily, medium-level sensor thresholds are used. If the AMD is suddenly decelerating, high-level sensor thresholds are used.

Systems and techniques are described herein for processing images. The systems and techniques can be implemented by various types of systems, such as by an extended reality (XR) system or device. In some cases, a first processor receives an image of an environment captured by an image sensor, identifies features depicted in the image, and generates descriptors for the features. The first processor sends the descriptors to a second processor, which may be more powerful than the first processor. The second processor receives the descriptors. The second processor associates the plurality of features with a map of the environment based on at least a subset of the plurality of descriptors. For example, the second processor can track at least a subset of the features based on at least a subset of the descriptors and based on feature information from one or more additional images of the environment.

Aspects of the present disclosure provide techniques to undo a portion of a mission recording of a robot by physically moving the robot back through the mission recording in reverse. As a result, after the undo process is completed, the robot is positioned at an earlier point in the mission and the user can continue to record further mission data from that point. The portion of the mission recording that was performed in reverse can be omitted from subsequent performance of the mission, for example by deleting that portion from the mission recording or otherwise marking that portion as inactive. In this manner, the mistake in the initial mission recording is not retained, but the robot need not perform the entire mission recording again.

A software product and methods determine a field coverage method for a nonholonomic robot to process a field using parallel lanes. A cellular decomposition algorithm divides the field into a plurality of cells, each having a plurality of parallel lanes. Permutations of lane processing orders are determined for each cell, based upon a minimum turning radius of the robot. A cell graph is generated to determine a shortest path for single-time processing each lane in each cell without violating the minimum turning radius of the robot. A step list defining movement of the nonholonomic robot along each lane in each cell of the shortest path through the cell graph is generated, and transits between the lanes, and laps around the field and any obstacles are added. A path program to control the nonholonomic robot to process the field is generated based upon the step list.

A charge device, including a fixing base, a charging arm pivoting lever, and a pivoting lever, is provided. The charging arm includes a first end portion and a second end portion. The pivoting lever includes a first portion and a second portion, and the first portion is pivotally connected to the fixing base. The pivoting lever is adapted to rotate relative to the fixing base, the second portion is pivotally connected to the first end portion, and the charging arm is adapted to rotate relative to the pivoting lever. A charging system is also provided.

A delivery method includes providing a system with at least one server, at least one robot, and at least one delivery terminal. The method includes communicating a request for at least one delivery from the at least one delivery terminal to the at least one server and/or to the at least one robot; providing instructions from the at least one server to the at least one robot about the at least one delivery, the instructions comprising information about a final delivery location; loading the at least one robot with the at least one delivery to be transported; transporting the at least one delivery in the at least one robot to the final delivery location; and providing access to the at least one delivery in the at least one robot, preferably upon arrival at the delivery location. A system has at least one server adapted for at least: coordinating communication within the system, receiving/storing/sending data and/or performing computations; at least one robot operating autonomously or semi-autonomously and adapted to communicate with the at least one server in order to facilitate transport of a delivery by the robot to at least one recipient; and at least one delivery terminal communicating with the at least one robot and/or the at least one server.