In many Hippocratic writings, the writers' attention is often focused on registering and discussing medical errors. Far from being sporadic and fortuitous, these discussions represent a privileged rhetorical resource in order to produce different effects. The aims of my paper will be: 1) to determine some of the most important contexts in which errors become the object of medical discourse; 2) to distinguish, per exempla, the typologies of errors made object of discourse; 3) to give an epistemological outline which may clarify which functions these discourses have and whether these functions respond coherently to a conscious plan of medical knowledge.
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Neural Netw
January 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Padova, Italy. Electronic address:
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.
View Article and Find Full Text PDFSci Robot
January 2025
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor control. They perform impressive acrobatic maneuvers when evading predators, recovering from wind gust, or landing on moving objects. Flapping-wing propulsion is advantageous for flight agility because it can generate large changes in instantaneous forces and torques.
View Article and Find Full Text PDFFront Plant Sci
December 2024
School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China.
In the cultivation of green chili peppers, the similarity between the fruit and background color, along with severe occlusion between fruits and leaves, significantly reduces the efficiency of harvesting robots. While increasing model depth can enhance detection accuracy, complex models are often difficult to deploy on low-cost agricultural devices. This paper presents an improved lightweight Pepper-YOLO model based on YOLOv8n-Pose, designed for simultaneous detection of green chili peppers and picking points.
View Article and Find Full Text PDFWearable Technol
December 2024
Institute of Advanced Materials for Sustainable Manufacturing, Tecnologico de Monterrey, Monterrey 64849, Nuevo Leon, Mexico.
This paper explores the integration of haptic gloves and virtual reality (VR) environments to enhance industrial training and operational efficiency within the framework of Industry 4.0 and Industry 5.0.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
Accurate 6D object pose estimation is critical for autonomous docking. To address the inefficiencies and inaccuracies associated with maximal cliques-based pose estimation methods, we propose a fast 6D pose estimation algorithm that integrates feature space and space compatibility constraints. The algorithm reduces the graph size by employing Laplacian filtering to resample high-frequency signal nodes.
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