The present invention relates to a system for remote and/or autonomous cutting at least a portion of a harvested tree trunk, at least a portion of a tree trunk to be harvested, at least a portion of a tree trunk during harvesting or at least a portion of a tree trunk during transporting, said system comprising: a remotely and/or autonomously controlled Unmanned Aerial Vehicle (100), UAV, means (116) for cutting at least a portion of a tree trunk attachable to said UAV (100), means for detecting at least a portion of a tree (135), means for detecting at least one tree parameter of at least a portion of a tree (135) and/or at least one growing condition of at least a portion of a tree (tree), a base station (120) for communication with said UAV (100), and means configured for selecting at least one cutting position on at least a portion of a tree trunk depending on the at least one detected tree parameter and/or the at least one detected growing condition of at least a portion of a tree (135).

The present invention relates to a system for remote and/or autonomous cutting at least a portion of a harvested tree trunk, at least a portion of a tree trunk to be harvested, at least a portion of a tree trunk during harvesting or at least a portion of a tree trunk during transporting, said system comprising: a remotely and/or autonomously controlled Unmanned Aerial Vehicle (100), UAV, means (116) for cutting at least a portion of a tree trunk attachable to said UAV (100), means for detecting at least a portion of a tree (135), means for detecting at least one tree parameter of at least a portion of a tree (135) and/or at least one growing condition of at least a portion of a tree (tree), a base station (120) for communication with said UAV (100), and means configured for selecting at least one cutting position on at least a portion of a tree trunk depending on the at least one detected tree parameter and/or the at least one detected growing condition of at least a portion of a tree (135).

Systems and methods are described for determining an actual pose of an articulating boom arm using an artificial intelligence mechanism (e.g., a neural network) trained to determine the actual pose of the articulating boom arm based on captured image data. In some implementations, an electronic processor is configured to control movement of the articulating boom arm based at least in part on pose information determined by applying the image-based neural network. In some implementations, an electronic processor is configured to train the neural network by using, as training data, captured image data and output signals from sensors indicative of measured positions of the components of the articulating boom arm.

Method, apparatus, and system for operation of a timber-working device configured to perform at least one operation having an associated hazard zone. At least one signal from at least one orientation sensor associated with the timber-working head may indicate whether a predetermined location is within the hazard zone based on the orientation of the timber-working head. Operation of the timber-working head can be controlled based on the signal.

Method, apparatus, and system for operation of a timber-working device configured to perform at least one operation having an associated hazard zone. At least one signal from at least one orientation sensor associated with the timber-working head may indicate whether a predetermined location is within the hazard zone based on the orientation of the timber-working head. Operation of the timber-working head can be controlled based on the signal.

An improved aerial saw is provided, including (a) an elongated arm having a proximal end and a distal end; (b) a saw blade rotatably connected to the elongated arm between its proximal and distal ends; (c) an engine enclosure having a distal end and a proximal end, wherein the distal end of the engine enclosure is coupled to the proximal end of the elongated arm; and (d) a saw attachment member connected to the saw assembly between saw blade and the proximal end of the engine enclosure; wherein the saw attachment member is connectable to a support structure at a first connection point.

The invention relates to a method and forest work machine (1) making use of it, by means of which the control of the forest work machine is assisted. In the forest work machine, a light source (2) is adapted, which may be directed to one or more different parts of the surroundings around it, forming the working area of the forest work machine. This is adapted to produce at least one specifically defined specified-form light pattern (3) on said working area. With such a light pattern, visual information content may be produced on the working area to support an operator of the forest work machine in their work. As content of such information, it is possible to define control measures for the forest work machine, performed in any working area or their restrictions.

Sensor systems for communications between heavy equipment machines during tree felling operations. A system includes a first heavy equipment comprising a first winch and a second heavy equipment comprising a second winch. The system includes a first cable attached to the first winch and a fulcrum roller and a second cable attached to the second winch and the fulcrum roller. The system is such that the first heavy equipment communicates with the second heavy equipment by way of long-range radio signals.

Sensor systems for communications between heavy equipment machines during tree felling operations. A system includes a first heavy equipment comprising a first winch and a second heavy equipment comprising a second winch. The system includes a first cable attached to the first winch and a fulcrum roller and a second cable attached to the second winch and the fulcrum roller. The system is such that the first heavy equipment communicates with the second heavy equipment by way of long-range radio signals.

Communications between heavy equipment machines during tree felling operations. A method includes identifying a tree felling area to be cut in a tree felling operation and determining instructions for executing the tree felling operation with two or more heavy equipment machinery. The method includes receiving first sensor data from a first heavy equipment during execution of the tree felling operation and providing the first sensor data to a second heavy equipment during execution of the tree felling operation.