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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10826604 | PMC |
| http://dx.doi.org/10.3389/fendo.2023.1357577 | DOI Listing |
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Deciding what type of health professional to be: the postural profile that is assumed in the care relationship is born from this challenge. These postures have a profound impact on the way in which care for the patient and end-of-life decisions will be developed. Broadly speaking, we can distinguish five macro postural profiles: the scientistic posture (the natural sciences are the only guide for the professional); the vitalist posture (the goal of saving the patient's life at all costs); the specialist posture (fragmentation of care managed by multiple specialists); the philanthropic posture (in which empathetic closeness to the patient prevails); the conversational posture (care "with" the patient, not "on" him).
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Three-dimensional (3D) LiDAR is crucial for the autonomous navigation of orchard mobile robots, offering comprehensive and accurate environmental perception. However, the increased richness of information provided by 3D LiDAR also leads to a higher computational burden for point cloud data processing, posing challenges to real-time navigation. To address these issues, this paper proposes a 3D point cloud optimization method based on the octree data structure for autonomous navigation of orchard mobile robots.
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