Disclosed herein are methods, devices, systems, and computer programs stored on computer-readable media for managing navigation in autonomous systems. One method includes: determining a route for navigation, communicating with a navigation managing system to determine whether a terrain map for the route is available, and in response to a determination that the terrain map is unavailable at the navigation managing system, navigating the route and generating the terrain map.

A map generation model building device includes a memory storing a map generation model building program, and a processor configured to execute the program, wherein the program generates embedding data by applying captured images taken by a movement device to an encoder module, generates spatial map data by recording the embedding data in map base data based on location information of the movement device, generates a rendering image based on the location information of the movement device in the spatial map data by using a decoder module, and train the a map generation model by comparing the rendering image with the captured image through a loss function and by updating the encoder module and the decoder module, the map base data includes a plurality of grids in which the embedding data is recorded, the embedding data includes RGB information and depth information for each pixel of the captured image.

A system and method are described that provide for mapping features of a warehouse environment having improved workflow. In one example of the system/method of the present invention, a mapping robot is navigated through a warehouse environment, and sensors of the mapping robot collect geospatial data as part of a mapping mode. A Frontend N block of a map framework may be responsible for reading and processing the geospatial data from the sensors of the mapping robot, as well as various other functions. The data may be stored in a keyframe object at a keyframe database. A Backend block of the map framework may be useful for detecting loop constraints, building submaps, optimizing a pose graph using keyframe data from one or more trajectory blocks, and/or various other functions.

A map generation application and method generates a computer-readable worksite map for managing navigation and travel for a plurality of mobile machines equipped with perception-based localization and navigation systems at a worksite. Survey data and development data associated with the worksite are obtained and used to prepare an unmarked worksite development map including one or more travel/activity areas. Marker positioning factors are obtained and are associated with the one or more travel/activity areas. The application determines assigned marker positions based on the marker positioning factors for the placement of physical markers about the worksite.

An agricultural system includes: a sensor system disposed on a drone communicably coupled to and remotely positionable from an agricultural work machine at a worksite; one or more processors; and memory storing instructions, executable by the one or more processors. The instructions, when executed by the one or more processors, cause the one or more processors to: identify a plurality of attributes to be detected; identify a monitoring priority identifying a priority of each attribute of the plurality of attributes; generate, based, at least, on the monitoring priority, a travel plan for the drone, the travel plan instructing travel of the drone at the worksite to detect the one or more attributes; and control the drone based on the travel plan to travel at the worksite to detect, with the sensor system, the plurality of attributes to be detected and generate sensor data indicative of the plurality of attributes.

A system and method for constructing a collaborative digital twin scene model for multiple underground robots belongs to the technical field of digital twin modeling for mines. The system includes a master robot i and sub-robots, both of which are connected to a main control module. The master robot i is equipped with a visualization module, a perception module, a computation module, and a communication module. The system and method for constructing a collaborative digital twin scene model for multiple underground robots is adopted to accurately measure and model the geometric and physical structures of tunnels. It enables the construction of a colored mesh map, which is further imported into Unity3D. Through this process, the pose transmission of the master robot i and the sub-robots within the UWB ranging range is realized, and the local colored mesh maps are stitched into a global colored mesh map.

Disclosed are a method for scheduling a task, an autonomous mobile machine and a controller. The method for scheduling the task includes: sending a mapping task instruction to a first autonomous mobile machine; receiving a planning map sent by the first autonomous mobile machine, where the planning map is obtained after the first autonomous mobile machine scans and maps a cargo container transportation vehicle by using a sensor mounted on the first autonomous mobile machine; and generating a handling task based on the planning map, and sending a handling task instruction to a second autonomous mobile machine, where the handling task instruction includes a handling task path. For a scenario where a docking position and a docking posture of the cargo container transportation vehicle are different each time, the present disclosure may ensure that the autonomous mobile machine executes the handling task accurately.

A guidance system for controlling operation of an agricultural vehicle. The guidance system includes at least one processor and at least one non-transitory computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the guidance system, during an agricultural operation, to: receive image data from an image sensor, analyze the image data to identify and classify one or more vegetation types depicted within the image data, receive GNSS location data, responsive to identifying and classifying one or more vegetation types, log location data indicating locations of the one or more vegetation types, and based at least partially on the image data and the logged location data, generate a geospatial map indicating locations of the one or more vegetation types on the geospatial map.

A feature mapping computer system configured to (i) receive a localized image including a photo depicting a driving environment and location data associated with the photo, (ii) identify, using an image recognition module, a roadway feature depicted in the photo, (iii) generate, using a photogrammetry module, a point cloud based upon the photo and the location data, wherein the point cloud comprises a set of data points representing the driving environment in a three dimensional (3D) space, (iv) localize the point cloud by assigning a location to the point cloud based upon the location data, and (v) generate an enhanced base map that includes a roadway feature.

The invention provides a smart mining exploration robotic system capable of detecting and mapping subsurface minerals through a synchronized integration of mechanical, electromechanical, and computational subsystems. The system features a modular chassis frame, a reconfigurable traction assembly capable of switching between wheel and track modes, a dynamically balanced suspension system, a sensor stabilization assembly employing a gimbal mechanism, and a synchronizing drive assembly that distributes mechanical motion among the propulsion, damping, and sensing components. A processing unit receives real-time mechanical state information and sensor data to produce terrain-referenced mineral maps with high spatial and temporal precision.