Abstract Purpose of the Review Recent technological innovations in Artificial Intelligence
(AI) have successfully revolutionized many industrial processes, enhancing productivity and …

Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

Sustainable forestry requires efficient regeneration methods to ensure that new forests are
established quickly. In Sweden, 99% of the planting is manual, but finding labor for this …

This paper investigated the integration of LiDAR technology in cut-to-length (CTL)
harvesting machines to enhance tree selection accuracy and efficiency. In the evolution of …

This study develops forest road recognition technology using deep learning-based image
processing to support the advancement of autonomous driving technology for forestry …

We explore multi-log grasping using reinforcement learning and virtual visual servoing for
automated forwarding in a simulated environment. Automation of forest processes is a major …

The cut-to-length (CTL) timber harvesting method, prevalent in Northern Europe, requires
well-trained professional staff and ergonomic, efficient machinery. This study investigated …

Timber represents an increasingly valuable and versatile resource. However, forestry
operations such as harvesting, handling and measuring logs still require substantial human …

The increased importance of cybersecurity in autonomous machinery is becoming evident in
the forestry domain. Forestry worksites are becoming more complex with the involvement of …

Multi-object grasping is a challenging task. It is important for energy and cost-efficient
operation of industrial crane manipulators, such as those used to collect tree logs off the …