| Authors | Westerberg |
| Country | Umea University, Sweden |
| Paper (PDF) | View paper |
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Automation, teleoperation, motion planning, and human-machine interaction (HMI) represent four interconnected pillars of the technical framework being developed to modernise forestry machinery and operations. Automation refers to the degree to which a machine can execute tasks — such as felling, processing, forwarding, or loading — without direct human input, ranging from simple process automation (automatic bar and chain lubrication) through to full autonomy (self-navigating machines making independent operational decisions). Teleoperation sits between manual control and full autonomy, allowing a human operator to control a machine remotely — potentially from a comfortable control room far from the hazardous forest environment — using camera feeds, haptic feedback, and real-time sensor data to guide machine actions with precision. Motion planning is the computational discipline concerned with determining how a machine should move through space to accomplish a task safely and efficiently, accounting for terrain, obstacles, machine kinematics, and payload constraints; in forestry, this is particularly challenging given the unstructured, dynamic nature of harvest sites with their slash debris, variable ground conditions, and dense standing trees adjacent to work areas. Human-machine interaction encompasses the interface design, situational awareness tools, and cognitive ergonomics considerations that govern how operators engage with increasingly complex, sensor-rich, and partially automated forestry machines. As Scandinavian original equipment manufacturers (OEMs) such as John Deere Forestry, Komatsu Forest, and Ponsse push the boundaries of automation in their harvester and forwarder product lines, and as Australian contractors begin evaluating these technologies, the integration of all four elements into coherent, safe, and productive systems is recognised as the defining engineering challenge of next-generation forestry mechanisation.
| Field | Value |
|---|---|
| Company | Westerberg |
| Country | Umea University, Sweden |
| Type | Paper |
| Year | 2014 |
| FWPA RD&E | 4.4 |