The surveying of European Union (EU) Annex I habitat "8110 - Siliceous scree of the montane to snow levels (Androsacetalia alpinae and Galeopsietalia ladani)" is generally executed by humans. However, robots could increase human monitoring capabilities. To this end, we collected information on this habitat employing the quadrupedal robot ANYmal C. These data include videos of eight different typical or early warning species. Additionally, data on four relevés are provided. These consist, for instance, of the robot state, and videos and pictures collected to evaluate the habitat conservation status. The aim of this dataset is to help researchers in a variety of fields. For instance, information on plant species collected by the robot can be utilized to develop new procedures and new metrics to assess the habitat conservation status or to train neural networks for plant classification. On the other hand, engineers can use robot state information to validate their algorithms. This database is publicly available in the provided Zenodo repository.
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http://dx.doi.org/10.1038/s41597-023-02764-1 | DOI Listing |
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 PDFHealthc Technol Lett
December 2024
Robotics and Control Laboratory, Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada.
The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.
View Article and Find Full Text PDFNanoscale Horiz
January 2025
Center for Research on Advanced Fiber Technologies (CRAFT), Materials Research Institute and Huck Institute of Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Molecular composites, such as bone and nacre, are everywhere in nature and play crucial roles, ranging from self-defense to carbon sequestration. Extensive research has been conducted on constructing inorganic layered materials at an atomic level inspired by natural composites. These layered materials exfoliated to 2D crystals are an emerging family of nanomaterials with extraordinary properties.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, P.R. China.
Magneto-responsive soft actuators hold significant promise in soft robotics due to their rapid responsiveness and untethered operation. However, controlling their deformations presents challenges because of their inherent flexibility and high degrees of freedom. Here, we present a magnetically driven bistable dome-shaped soft actuator that simplifies deformation by limiting it to two distinct states.
View Article and Find Full Text PDFArthroplast Today
February 2025
Georgetown University School of Medicine, MedStar Georgetown University Hospital, Washington, D.C, USA.
Background: Robotic-assisted total joint arthroplasty (TJA) has gained popularity in recent years. Despite mixed patient and surgeon perceptions, conflicting evidence regarding efficacy and cost-effectiveness in comparison to manual TJA exists. Patients' beliefs surrounding robotic-assisted TJA remain unclear.
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