| Authors | Manner |
| Country | Skogforsk (Research Modelte) |
| Paper (PDF) | View paper |
discussion of ICS and AWED as tools for forestry
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The digital instructor, intelligent coaching systems (ICS), and automatic work-element detection (AWED) represent a cluster of interrelated technologies developed primarily within the Scandinavian forestry equipment sector to improve harvester and forwarder operator performance through real-time, data-driven feedback. AWED is the foundational layer: it uses a combination of machine sensors — hydraulic pressure transducers, boom position encoders, engine load monitors, and crane motion accelerometers — together with onboard processing algorithms to automatically segment an operator's working cycle into discrete, time-stamped work elements such as felling, de-limbing, cross-cutting, and crane swing. By eliminating the need for manual time-and-motion studies, AWED generates continuous, objective productivity data that can be aggregated across shifts, machines, and operators without observer bias. This data stream feeds into an ICS, which analyses deviations from benchmark performance profiles — for example, excessive dwell between de-limbing and cross-cutting, or suboptimal crane reach angles — and presents corrective guidance to the operator via an in-cab display or audio prompt, functioning as an always-present digital coach. The combined system has been commercialised notably by Komatsu Forest under its MaxiXT concept and has been a focus of research at Skogforsk (the Swedish Forestry Research Institute). In Australian plantation harvesting, where skilled operator shortages are a persistent challenge and travel-to-site costs are high, ICS and AWED technologies offer a means to accelerate new-operator upskilling, maintain productivity during crew changeovers, and extract actionable insights from remote machine telemetry without requiring on-site supervisors. The data produced also integrates naturally with fleet management platforms, supporting maintenance scheduling and shift-level productivity reporting across geographically dispersed coupes.
| Field | Value |
|---|---|
| Company | Manner |
| Country | Skogforsk (Research Modelte) |
| Type | Paper |
| Year | 2024 |
| FWPA RD&E | 4.1 |