A remote control system includes a mobile terminal configured to control a construction machine in a first operating mode using one or more control elements of the mobile terminal and to control at least one imaging device in a second operating mode using the one or more control elements of the mobile terminal. The at least one imaging device is controllable by the one or more control elements of the mobile terminal to record an environment of the construction machine and/or a working tool of the construction machine. A position and/or alignment of the at least one imaging device is controllable via the one or more control elements of the mobile terminal.

A system and method are described that provide for queueing robot operations in a warehouse environment based on workflow optimization instructions. In one example of the system/method of the present invention, a control system causes certain robots to queue proximate to one another to permit resources to be obtained, transported, deposited, etc. without the robots crashing into one another (or into other objects), or forming traffic jams. A robot may remain at an assigned queue position at least until another position assigned to the robot becomes available.

A method for covering a work environment by a robot, including: obtaining sensor data indicative of operational hazards; generating a map based on data obtained from sensors of the robot; determining an object type of an operational hazard based on extracted features and a database of various object types and their features; generating a coverage plan for areas of the work environment; executing the coverage plan by the robot; capturing debris sensor data indicative of at least presence and absence of debris in locations within the work environment; determining areas of the work environment with a high presence of debris and a low presence of debris, wherein the map is updated to distinguish the areas with the high presence of debris and the areas with the low presence of debris.

An alternate landing planning method includes obtaining an alternate landing position configuration instruction to set an alternate landing position other than a primary landing position of an aerial vehicle and determining, according to the alternate landing position configuration instruction, a current parking position of the aerial vehicle as the alternate landing position.

Examples disclosed herein may involve a computing system that is operable to (i) identify, within a given period of operation of a vehicle having an associated sensor system for capturing sensor data, one or more times when the vehicle was driving in a lane having substantially-straight lane geometry, (ii) for each identified time, determine a respective measure of a lateral offset between the vehicle's associated sensor system and a lateral reference point of the vehicle, and (iii) based on the respective measure of the lateral offset that is determined for each of the one or more identified times, determine the lateral offset between the vehicle's associated sensor system and the lateral reference point of the vehicle.

This disclosure provides a method and apparatus for controlling a robot, and a non-transitory computer-readable storage medium, and relates to the technical field of robot. The method of controlling a robot therein includes: constructing a closed plane graph according to a size of a chassis of the robot, the closed plane graph passing through a center point of the robot chassis and a target point on a planning path of the robot, a connection line between the center point and the target point being a symmetry axis of the closed plane graph; performing laser irradiation from the center point to an area of the closed plane graph to acquire a laser point set; and controlling a movement state of the robot according to a farthest distance between all the laser points in the laser point set and the center point.

A computing system may be configured as a fleet controller for autonomous mobile robots operating within a physical environment. The system may include a communication interface receiving sensor data from the robots including image data captured by visible light cameras located on the robots, an environment mapper determining a global scene graph representing the environment and identifying navigable regions of the environment, a workflow coordinator determining a workflow including tasks to be performed within the environment by one or more of the robots in cooperation with a human, and a route planner configured to determine routing information for the one or robots including a nominal route from a source location to a destination location. The robots may be configured to autonomously navigate the environment to execute the tasks based on the routing information.

A light ranging system including a shaft having a longitudinal axis; a light ranging device configured to rotate about the longitudinal axis of the shaft, the light ranging device including a light source configured to transmit light pulses to objects in a surrounding environment, and detector circuitry configured to detect reflected portions of the light pulses that are reflected from the objects in the surrounding environment and to compute ranging data based on the reflected portion of the light pulses; a base subsystem that does not rotate about the shaft; and an optical communications subsystem configured to provide an optical communications channel between the base subsystem and the light ranging device, the optical communications subsystem including one or more turret optical communication components connected to the detector circuitry and one or more base optical communication components connected to the base subsystem.

Disclosed are a method for determining a stacking state, a controller, and material handling equipment. The technical solution includes: acquiring target data of a first stacking object and a second stacking object; extracting, from the target data, first target data of the first stacking object and second target data of the second stacking object; extracting a first boundary of the first stacking object based on the first target data, and extracting a second boundary of the second stacking object based on the second target data; and calculating a width of a first gap between the first stacking object and the second stacking object based on the first boundary and the second boundary, and comparing the width of the first gap with a first threshold to determine a first stacking state. The present disclosure may help improve efficiency and accuracy of a determining process of a stacking state.

The present disclosure provides an autonomous mobile device. The autonomous mobile device includes a device main body, provided with a buffer component on a front side of the device main body; a line laser module, arranged on at least one of the device main body and the buffer component and located between the buffer component and the device main body, wherein the line laser module includes a camera device configured to capture an environmental image and a first window is arranged at a position on the buffer component corresponding to the camera device to enable external ambient light to enter the camera device; and an infrared fill-in lamp, arranged on the buffer component.