A method for training a control policy for a robot device includes acquiring a reference state of an environment of the robot device and a reference observation of the environment for the reference state. The method also includes generating, for each of a plurality of errors of an estimation of a pose of the robot device, an observation that is disturbed with respect to the reference observation according to the error of the pose estimation and a training data element comprising the generated observation as a training input. The method further includes training the control policy using the generated training data elements.

A management system of a work site includes: a workplace data acquisition unit that acquires workplace data set in a workplace where an unmanned haul vehicle travels; and a sprinkling area setting unit that sets, on the basis of the workplace data, a sprinkling area on which the unmanned sprinkler vehicle sprinkles water in the workplace.

An automated vehicle comprising: a control unit configured to control movement of the automated vehicle to a location adjacent an estimated location of a drill hole; a scanning portion including one or more scanning devices configured to scan an area of terrain in the vicinity of the estimated location of the drill hole in order to determine an actual location of the drill hole, and to generate a point cloud representing at least a portion of the interior of the drill hole; at least one arm associated with the scanning portion, the at least one arm configured to move the scanning portion between a home position and one or more scanning positions; and an end effector associated with the at least one arm, the end effector being configured to perform one or more operations;
wherein, upon generating the point cloud, the at least one arm is configured, based on the point cloud, to position the end effector in substantial alignment with the drill hole so that the end effector can perform the one or more operations.

A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

A system searches for a track for a vehicle to travel automatically. The system includes a processor. The processor includes a route search unit, a restriction condition generation unit, and a track search unit. The route search unit searches for a series having elements of a position and posture of the vehicle, which is a route for moving from an initial position to a target position of the vehicle, based on a first restriction condition representing a position of an obstacle. The restriction condition generation unit generates a second restriction condition in which a penalty value increases according to a deviation distance from the route. The track search unit searches for a series having elements of a position, posture, speed, and steering angle of the vehicle, which is a track for moving from the initial position to the target position of the vehicle, based on the second restriction condition.

A hauling vehicle including a vehicle body, a distance meter that measures the distance to an obstacle, an in-vehicle controller that controls the vehicle body, and a communication device that communicates with a management controller that manages the vehicle body is provided. In the hauling vehicle, the in-vehicle controller executes primary determination of whether or not the distance meter is in a dirt-presumed state in which dirt of an objective surface of the distance meter is presumed, commands the vehicle body to stop at a current position when determining that the distance meter is in the dirt-presumed state in the primary determination, executes secondary determination of whether or not the distance meter is in the dirt-presumed state after the elapse of a set time from the execution of the primary determination, transmits an alarm to the management controller through the communication device when determining that the distance meter is in the dirt-presumed state in the secondary determination, and commands the vehicle body to resume travelling of the vehicle body when determining that the dirt-presumed state has been eliminated in the secondary determination.

Systems and methods for operating a mining machine with respect to a geofence. One system includes an electronic processor configured to determine a first virtual operation zone positioned around the mobile industrial machine, where the first virtual operation zone is a dynamic area around the mobile industrial machine. The electronic processor is also configured to modify a parameter of the first virtual operation zone.

A self-propelled construction machine for working ground or erecting a structure thereon in a preceding work process, which is followed by another work process with another construction machine, comprises a mobile radio communications device, a GNSS receiver, a GNSS evaluation device or mobile radio evaluation device, and a GNSS evaluation variable acquisition device or mobile radio evaluation variable acquisition device. The GNSS evaluation device or mobile radio evaluation device is configured wherein, during advance of the machine, evaluation variables evaluating the quality of the GNSS signals or the mobile radio signal are determined at respective locations in the terrain, and the GNSS evaluation variable acquisition device or the mobile radio evaluation parameter acquisition device is configured wherein the position data determined by the GNSS receiver at the respective locations is used to generate a spatial (geo-referenced) telemetry data set describing the quality of the signals at the respective locations.

A system is provided which can achieve reliability of a notification about a moving manner of a work machine for a worker regardless of the distance between the work machine and the worker. A sign image M is projected onto a peripheral region of the worker (for example, a ground surface which is present in the vicinity of the worker to the extent that the worker is capable of visually recognizing the sign image M) by an unmanned aircraft 60. The sign image M is an image which represents a moving manner of a work machine 40. Thus, regardless of the distance between the work machine 40 and the worker, reliability of a notification about the moving manner of the work machine 40 for the worker is achieved compared to a case where the sign image M is projected onto an irrelevant place to the position of the worker.

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.