A system for delivering beams to predetermined locations of a work site includes a sorting assembly, a work machine, and a control system. The sorting assembly receives the beams in loose batches and arranges them in a predefined arrangement. The work machine includes an implement having haul elements. The control system receives an instruction to transfer the beams to the predetermined locations and issue a command to move the work machine for operative engagement with the sorting assembly. Further, the control system generates a retrieval command to alter the implement and switch the haul elements to a first condition to retrieve the beams from the sorting assembly. Also, the control system provides a notification to haul the beams to the predetermined locations. The control system generates release commands at the predetermined locations to release at least one beam correspondingly at the predetermined locations in a preset orientation.

Provided is a remote operation device capable of remotely operating efficiently and safely a work machine that is operated from a remote location, even when a communication delay occurs. The remote operation device includes a communication control section 222 that receives a camera video image of a work site captured by a vehicle-mounted camera 91 and vehicle body information of the work machine (hydraulic shovel) 1, a predicted trajectory computing section 220 that computes a predicted trajectory of the work machine (hydraulic shovel) 1 from the vehicle body information and outputs predicted trajectory data to be displayed as a video image on a display device 202, and a display control section 221 that causes the display device 202 to display the camera video image and the video image of the predicted trajectory on the same screen (simultaneously).

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 trowel system for finishing a concrete floor is disclosed. The system may include a first rotor and a second rotor configured to axially rotate at a same speed in opposite directions. The system may further include a sensor unit configured to detect a concrete floor boundary or a presence of an obstacle on the floor when the system moves on the floor. The system may further include a processor configured to activate a first rotor rotation and a second rotor rotation, and obtain inputs from the sensor unit responsive to activating the first rotor rotation and the second rotor rotation. The processor may further generate a concrete floor two-dimensional (2D) map based on the inputs obtained from the sensor unit, and control a first rotor operation and a second rotor operation to cause a system movement on the floor based on the concrete floor 2D map.

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 management system of a work site includes: an input data acquisition unit that acquires condition input data from an input device; and a water-sprinkling condition decision unit that decides, based on the condition input data, a water-sprinkling condition of an unmanned water-sprinkling vehicle at a work place where an unmanned haul vehicle travels.

Intelligent algorithms and systems (vehicles and/or mechanisms) locate and extract economic sound concentrations of e.g. any combinations of nodules, manganese crusts and/or sulphide deposit, and separate uneconomic matter from valuable minerals by applying differences in electric and/or acoustic properties to differentiate economically valuable minerals from cost bearing unprofitable other matters (e.g. mud, gravel, rocks, organic matter), thus providing added profitability compared to existing mining machines. Complex and multiple sophisticated technological fields, including, but not limited to Geophysics, Advanced sensor technology (acoustic and electric parameter detection), Signal processing (feature extraction and pattern recognition), Machine learning/AI (classification algorithms and adaptive systems), Mechanical engineering (precision collection mechanisms), Real-time control systems (feedback-based operation), Economic modeling (dynamic threshold determination) are combined. Both independent systems and add-on vehicles to existing mining machines have been developed. Environmental impacts are minimized by the nature of the invented technical solutions. MS and/or AI methods and algorithms can be incorporated.

A method performed by a control unit for operating an autonomous vehicle is provided. The control unit is arranged to communicate via at least one antenna. The control unit obtains, based on a signal from the at least one antenna, information relating to at least one geographical zone associated with a transponder as the autonomous vehicle moves in proximity of the transponder. Also, the control unit determines an autonomous operating mode of the autonomous vehicle based on the obtained information relating to the at least one geographical zone associated with the transponder. The control unit further operates the autonomous vehicle in accordance with the determined autonomous operating mode.

A system detects a traveling obstacle region that is a region that obstructs traveling of a work machine. The system includes a region angle detector, a region height detector, an angle obstacle region detector, a height obstacle region detector, and a traveling obstacle region detector. The region angle detector detects an angle of a traveling surface based on a distance image around the work machine. The region height detector detects height of the traveling surface based on the distance image. The angle obstacle region detector detects an angle obstacle region that is an obstacle region based on the detected angle. The height obstacle region detector detects a height obstacle region that is an obstacle region based on the detected height. The traveling obstacle region detector detects a traveling obstacle region based on the detected angle obstacle region and the detected height obstacle region.

A system for generating a work plan for autonomous operation of a compactor in tandem with an earthmoving machine includes a first controller that receives information pertaining to a work area on which the earthmoving machine is required to perform at least one operation. The system also includes a central controller that receives, from the first controller, information pertaining to the work area on which the compactor is required to perform the at least one operation and analyzes the work area for virtually segmenting the work area into a plurality of virtual work areas, and data indicative of a movement of the earthmoving machine through each virtual work area from the plurality of virtual work areas. The central controller determines an optimal direction of movement for the compactor based on the data indicative of the movement of the earthmoving machine, topographical conditions, as well as geometry of the work area.