Remote-controlled logging cuts costs 18% by pairing AI with human drivers
Researchers modeled a hybrid system where autonomous cranes handle loading while operators remotely drive timber-hauling vehicles, achieving cost savings roughly double previous approaches. The finding suggests forestry companies could deploy fewer machines with remote human oversight, reducing capital spending while maintaining output near current levels.
Originaltitel: New configurations of the tele-extraction concept
<p>Within cut-to-length forwarding, a theoretical semi-autonomous teleoperation concept called tele-extraction, with automation of crane work and teleoperation of driving, was modeled and simulated. Both configurations modeled had greater potential for cost reduction than a previously studied alternative where the driving was automated, and crane work was teleoperated. Teledrive with teleoperated driving empty, driving loaded, and driving between log piles while loading, showed a reduced cost of 10% for five operators on ten forwarders, whereas teledrive with both loading and driving while loading automated showed a reduced cost of 18% at four operators. In both configurations, the lowest cost was reached at about 10% lower productivity compared to standard forwarding. Increased extraction distance had a negative impact on potential for cost reduction since the driving was teleoperated while terminal activities were autonomous.</p>